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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. 3-RES-JB
    11. 8940
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly those related to specific events or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHAT
    -0.67
     Panthers
    -0.67
    hold
    -0.65
    cam
    -0.65
    yard
    -0.64
    comings
    -0.63
    DK
    -0.63
     Model
    -0.62
    MW
    -0.62
    keeper
    -0.62
    POSITIVE LOGITS
    aundering
    0.74
    colm
    0.74
    advertising
    0.72
    elist
    0.72
    jandro
    0.72
    itivity
    0.71
    atche
    0.69
    apter
    0.69
    ahu
    0.69
    psey
    0.69
    Activations Density 0.034%

    No Known Activations