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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. 14128
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    INDEX
    Explanations

    words related to requirements or conditions that must be met

    oai_token-act-pair · gpt-3.5-turbo

    terms related to requirements and associations in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     indeed
    -0.82
    another
    -0.77
    Cola
    -0.76
     Called
    -0.76
    ql
    -0.76
    also
    -0.74
    ̶
    -0.73
    cellent
    -0.72
    since
    -0.70
    olicited
    -0.69
    POSITIVE LOGITS
     portions
    0.94
     amount
    0.91
     ones
    0.91
     portion
    0.91
     amounts
    0.87
     energies
    0.84
     sections
    0.83
     components
    0.83
     percentages
    0.82
     pieces
    0.81
    Activations Density 0.229%

    No Known Activations