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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. 3-RES-JB
    11. 3314
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    Explanations

    mentions of objects or entities associated with a specific occupation or setting

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or terms prefixed by "dr"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Corpus
    -0.83
    SHIP
    -0.79
    ISM
    -0.78
    */(
    -0.75
    Ĥ¬
    -0.74
    itia
    -0.71
    zsche
    -0.69
    CEPT
    -0.68
    cium
    -0.68
    ãĥ´ãĤ¡
    -0.67
    POSITIVE LOGITS
    ags
    1.05
    ifts
    1.00
    udge
    0.98
    iller
    0.98
    unks
    0.94
    idge
    0.87
    ubs
    0.86
    ifter
    0.86
    agons
    0.86
    inker
    0.85
    Activations Density 0.004%

    No Known Activations