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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. 9-RES-JB
    11. 17828
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    Explanations

    conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roses
    -0.69
    ãĤ¤ãĥĪ
    -0.68
    ãĤª
    -0.67
    ighty
    -0.66
    Eye
    -0.64
    assi
    -0.63
    cade
    -0.63
    iliar
    -0.63
    educ
    -0.61
    Arm
    -0.61
    POSITIVE LOGITS
    fy
    1.04
    rame
    0.99
     they
    0.92
    ornia
    0.82
    soever
    0.80
    tar
    0.78
     you
    0.78
     someone
    0.76
     necessary
    0.75
     somebody
    0.71
    Activations Density 0.092%

    No Known Activations