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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. 10-RES-JB
    11. 4669
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    INDEX
    Explanations

    the word "big" followed by nouns or adjectives

    oai_token-act-pair · gpt-3.5-turbo

    expressions emphasizing the significance or magnitude of various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Frames
    -0.80
    ©¶æ
    -0.79
    ptives
    -0.78
    apons
    -0.77
    ancies
    -0.75
    alks
    -0.75
    gemony
    -0.74
    endants
    -0.72
    idents
    -0.71
    oust
    -0.70
    POSITIVE LOGITS
    gie
    1.33
     chunk
    1.15
     deal
    1.13
     boon
    1.08
     mistake
    1.08
     hurdle
    1.02
     improvement
    1.02
     difference
    1.01
     misconception
    1.01
     problem
    0.99
    Activations Density 0.085%

    No Known Activations