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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. 389
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    INDEX
    Explanations

    words related to filtering, such as "filter," "filtered," and "filters."

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to filtering and media management

    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
    ciating
    -0.91
    eanor
    -0.71
    ston
    -0.71
    ocamp
    -0.69
    erald
    -0.67
    arrass
    -0.67
    enture
    -0.66
    SIGN
    -0.65
    olla
    -0.65
    aving
    -0.65
    POSITIVE LOGITS
     filter
    1.09
     filters
    1.05
     filtering
    0.97
    filter
    0.94
     cutoff
    0.93
     filtered
    0.90
     Filter
    0.87
    Filter
    0.84
    inator
    0.84
    Fil
    0.80
    Activations Density 0.072%

    No Known Activations