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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. 8-RES-JB
    11. 12560
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    Explanations

    negative descriptions of people

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptions of people and situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arten
    -0.87
    isSpecialOrderable
    -0.83
    soType
    -0.77
     GOODMAN
    -0.74
    foreseen
    -0.73
    iasm
    -0.73
    ESA
    -0.73
    blance
    -0.73
    OPLE
    -0.73
    imum
    -0.73
    POSITIVE LOGITS
     murders
    1.26
     murdering
    1.24
     merciless
    1.18
     inflicted
    1.17
     torture
    1.17
     rav
    1.16
     vicious
    1.09
     massacres
    1.09
     murderous
    1.09
     murder
    1.09
    Activations Density 1.122%

    No Known Activations