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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. 11-RES-JB
    11. 449
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    INDEX
    Explanations

    physical actions or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant emotional or dramatic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    omorphic
    -0.76
    pin
    -0.68
    assic
    -0.64
    irtual
    -0.61
    uno
    -0.61
    ģĸ
    -0.60
    arb
    -0.60
    utical
    -0.59
    onomic
    -0.59
    ocious
    -0.59
    POSITIVE LOGITS
     he
    1.23
     she
    1.14
    she
    1.14
     they
    1.13
    they
    0.99
     we
    0.99
     He
    0.96
    He
    0.94
     SHE
    0.94
     She
    0.88
    Activations Density 0.253%

    No Known Activations