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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. 23535
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    INDEX
    Explanations

    words related to filtering, such as "filter," "filters," and descriptions of filtering actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of filtering processes or materials

    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
    ciating
    -0.86
    eanor
    -0.84
     Herald
    -0.70
    erald
    -0.67
    ILY
    -0.66
    ington
    -0.64
    ynes
    -0.63
    ocamp
    -0.62
     Pradesh
    -0.62
     Kardashian
    -0.61
    POSITIVE LOGITS
    filter
    0.88
    operator
    0.85
    door
    0.84
     filters
    0.84
     filter
    0.83
    inator
    0.80
    ters
    0.80
     filtering
    0.79
     cutoff
    0.79
     Filter
    0.77
    Activations Density 0.052%

    No Known Activations