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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. 6592
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    Explanations

    names of individuals related to various incidents or news events

    oai_token-act-pair · gpt-3.5-turbo

    names and roles of individuals involved in a criminal incident or investigation

    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
     optim
    -0.84
    olkien
    -0.84
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.81
     pse
    -0.79
    pmwiki
    -0.77
    soDeliveryDate
    -0.77
    ãĤ§
    -0.77
     Kyoto
    -0.76
     FANT
    -0.76
     ãĤµ
    -0.76
    POSITIVE LOGITS
     Police
    0.89
     assailant
    0.86
    endez
    0.86
    ville
    0.85
     homicide
    0.85
     misdemeanor
    0.84
     felony
    0.82
     County
    0.81
    resp
    0.81
    ingham
    0.81
    Activations Density 0.604%

    No Known Activations