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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. 6607
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    Explanations

    numbers or words with a hyphen followed by a numeral indicating a certain strength or level

    oai_token-act-pair · gpt-3.5-turbo

    hyphenated words or phrases

    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
     toughness
    -0.83
     locality
    -0.83
     circle
    -0.83
     concentration
    -0.82
     literacy
    -0.81
     hardness
    -0.81
     heartbeat
    -0.80
     stability
    -0.80
     warmth
    -0.79
     percentile
    -0.77
    POSITIVE LOGITS
    installed
    1.80
    created
    1.69
    produced
    1.69
    treated
    1.68
    reviewed
    1.68
    generated
    1.66
    released
    1.65
    selected
    1.65
    named
    1.64
    elected
    1.64
    Activations Density 0.132%

    No Known Activations