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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. 6238
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    INDEX
    Explanations

    numerical values with a specific high range threshold

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or identifiers

    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
    estine
    -0.84
    hood
    -0.80
    erate
    -0.66
    ened
    -0.65
    timer
    -0.62
     scrut
    -0.61
    ledged
    -0.59
    hatt
    -0.59
    coat
    -0.57
    cott
    -0.57
    POSITIVE LOGITS
     ILCS
    1.00
    mph
    0.98
     SHARES
    0.97
    lbs
    0.92
    rf
    0.91
     lbs
    0.86
    KB
    0.82
    RF
    0.82
    cm
    0.80
    px
    0.79
    Activations Density 0.129%

    No Known Activations