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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. 9239
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    Explanations

    phrases expressing a lack of desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    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
    Not in Any Lists

    No Comments

    Negative Logits
    semble
    -0.79
    ammy
    -0.77
    soDeliveryDate
    -0.76
    VERTISEMENT
    -0.73
    reading
    -0.71
    catentry
    -0.70
    terms
    -0.68
    iop
    -0.67
    team
    -0.66
    issance
    -0.66
    POSITIVE LOGITS
     anymore
    0.96
     anybody
    0.82
     necessarily
    0.81
     nor
    0.79
     anything
    0.76
     anyone
    0.71
    cha
    0.70
     any
    0.69
     anywhere
    0.67
     them
    0.64
    Activations Density 0.035%

    No Known Activations