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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. 10-RES-JB
    11. 10118
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    Explanations

    conditional statements indicating potential outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements or implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    oult
    -0.72
    ãĤ©
    -0.71
    ictive
    -0.69
    oya
    -0.67
    ãĤ¤ãĥĪ
    -0.67
    ighty
    -0.66
    iliar
    -0.64
    incial
    -0.63
    ascus
    -0.62
    strom
    -0.62
    POSITIVE LOGITS
     they
    1.06
    fy
    1.04
    rame
    0.88
     someone
    0.84
     necessary
    0.81
    soever
    0.78
     we
    0.78
     there
    0.78
     he
    0.77
     anyone
    0.75
    Activations Density 0.100%

    No Known Activations