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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. 1-RES-JB
    11. 21050
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    Explanations

    words related to driving or being the main cause or reason behind something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to causation or motivation for events and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nam
    -0.72
    eon
    -0.71
    ARC
    -0.66
    ENN
    -0.65
    aco
    -0.65
     SOLD
    -0.64
    ym
    -0.63
    ANA
    -0.62
     Purchase
    -0.62
    nee
    -0.61
    POSITIVE LOGITS
    driven
    1.14
    gered
    0.78
     showc
    0.76
    ãĥ¼ãĤ¯
    0.76
     driven
    0.72
    TextColor
    0.72
    tip
    0.71
    ragon
    0.70
    jriwal
    0.69
    wcs
    0.68
    Activations Density 0.013%

    No Known Activations