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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. 7-RES-JB
    11. 4868
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    Explanations

    phrases related to bringing something back

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving returning or restoration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MODE
    -0.78
    BILITY
    -0.71
    NESS
    -0.69
    ÃŁ
    -0.66
    umper
    -0.63
    PATH
    -0.63
     incent
    -0.63
    issy
    -0.63
     Verse
    -0.62
    externalActionCode
    -0.62
    POSITIVE LOGITS
    unity
    0.73
    ugal
    0.72
     reinforcements
    0.69
    ochond
    0.65
    riots
    0.64
    ulic
    0.64
     fresh
    0.62
    dogs
    0.62
    uba
    0.62
    razil
    0.62
    Activations Density 0.062%

    No Known Activations