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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. 4-RES-JB
    11. 15674
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    Explanations

    names or terms related to medicine such as medications and health conditions

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and terms related to opioids and felony offenses

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

    No Comments

    Negative Logits
    ault
    -0.83
    oulos
    -0.74
    ilian
    -0.74
    hester
    -0.67
    etic
    -0.67
    emia
    -0.67
    uru
    -0.66
    ichen
    -0.66
    iola
    -0.65
    emonic
    -0.65
    POSITIVE LOGITS
    comes
    0.86
    teness
    0.85
    tions
    0.76
    phen
    0.75
    agi
    0.75
    mor
    0.75
    tering
    0.73
    rals
    0.71
    tin
    0.70
    tan
    0.69
    Activations Density 0.030%

    No Known Activations