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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. 2619
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    INDEX
    Explanations

    instances involving the truth of a statement

    oai_token-act-pair · gpt-3.5-turbo

    assertions and contradictions regarding claims or 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
    ngth
    -0.76
    fect
    -0.69
    anches
    -0.68
     hail
    -0.67
    ividual
    -0.67
    ription
    -0.65
    alks
    -0.63
    igs
    -0.61
    wright
    -0.61
    fee
    -0.61
    POSITIVE LOGITS
    true
    1.29
     happening
    1.27
     true
    1.16
     untrue
    1.10
     happen
    1.08
    false
    1.03
     TRUE
    1.00
     occurring
    0.95
     happened
    0.92
     happens
    0.89
    Activations Density 0.309%

    No Known Activations