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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. 20660
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    Explanations

    words related to weight and measurement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weight measurements and descriptions

    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
    SPONSORED
    -0.60
    bid
    -0.58
    itus
    -0.55
    href
    -0.55
    ossom
    -0.55
    ertain
    -0.54
    Bridge
    -0.54
    adies
    -0.53
    ffe
    -0.53
    acca
    -0.53
    POSITIVE LOGITS
     approximately
    1.00
     660
    0.91
     approx
    0.91
     440
    0.88
     Approximately
    0.86
     840
    0.86
     550
    0.84
     340
    0.84
     275
    0.83
     335
    0.83
    Activations Density 0.070%

    No Known Activations