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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9675
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    Explanations

    words related to strong beliefs or support

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe strong beliefs or support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.89
    hops
    -0.86
     Corpse
    -0.74
     Pavilion
    -0.73
     coff
    -0.72
     Takeru
    -0.71
    NetMessage
    -0.70
    oeuv
    -0.69
     rhy
    -0.66
     Sent
    -0.66
    POSITIVE LOGITS
    ly
    0.88
    edly
    0.82
    ELY
    0.82
     supporter
    0.79
    ãĥ¼ãĤ¯
    0.77
     ferv
    0.75
    itive
    0.74
    ãĥ¼ãĥĨ
    0.74
    kowski
    0.72
    zinski
    0.72
    Activations Density 0.023%

    No Known Activations