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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. 6-RES-JB
    11. 23767
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    INDEX
    Explanations

    quotations from or statements made by reporters

    oai_token-act-pair · gpt-3.5-turbo

    instances where individuals are referenced as telling information to reporters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.74
    ston
    -0.71
    ham
    -0.71
    inho
    -0.69
    vasive
    -0.66
    ez
    -0.65
    uras
    -0.63
    reme
    -0.63
    sym
    -0.62
    gets
    -0.62
    POSITIVE LOGITS
    perty
    0.82
     conference
    0.81
     corps
    0.80
    hips
    0.78
    irtual
    0.77
    hip
    0.74
     assembled
    0.74
     reporters
    0.74
     gathered
    0.72
    ubs
    0.71
    Activations Density 0.021%

    No Known Activations