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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. 7-RES-JB
    11. 5158
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    Explanations

    adjectives that describe something in an extreme way

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥīãĥ©
    -0.79
    apons
    -0.76
    apache
    -0.75
    js
    -0.74
    each
    -0.73
    these
    -0.72
     besides
    -0.71
    isco
    -0.70
     exists
    -0.68
     existed
    -0.68
    POSITIVE LOGITS
     easiest
    1.16
     simplest
    1.12
     same
    1.10
     biggest
    1.08
     toughest
    1.06
     longest
    1.04
     culmination
    1.04
     greatest
    1.03
     safest
    1.02
     closest
    1.02
    Activations Density 0.128%

    No Known Activations