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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. 2-RES-JB
    11. 6242
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    immer
    -0.70
    inventory
    -0.68
    ward
    -0.66
    ork
    -0.64
     lens
    -0.63
     sober
    -0.62
     dimensional
    -0.62
    spring
    -0.61
    opy
    -0.59
    contact
    -0.59
    POSITIVE LOGITS
    uted
    1.05
    uting
    1.03
    anamo
    0.98
    uality
    0.87
     Gupta
    0.82
    utations
    0.80
    tle
    0.75
    eki
    0.73
    culosis
    0.73
    entary
    0.72
    Activations Density 0.014%

    No Known Activations