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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 16309
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    Explanations

    words related to professional cycling, particularly mentioning cyclists' names and race-related terms

    oai_token-act-pair · gpt-3.5-turbo

    names of people and references to competitive events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    PROV
    -0.68
    SPONSORED
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    DragonMagazine
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    ocument
    -0.67
    thy
    -0.66
     funded
    -0.65
    taboola
    -0.65
    CTV
    -0.64
    POSITIVE LOGITS
    abase
    0.93
     corrid
    0.70
     aggro
    0.69
     derby
    0.67
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    0.66
     Agility
    0.66
     Misty
    0.64
     dagger
    0.63
    Zen
    0.62
    etheless
    0.61
    Activations Density 0.387%

    No Known Activations