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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. 14219
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    INDEX
    Explanations

    ideation or creative thinking cues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Think" used in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    cffffcc
    -0.85
    artney
    -0.74
    taboola
    -0.72
    perse
    -0.68
    EStreamFrame
    -0.63
     Peninsula
    -0.62
    arching
    -0.61
    iqueness
    -0.60
    GMT
    -0.60
    lished
    -0.60
    POSITIVE LOGITS
    ings
    0.78
    lihood
    0.75
    pad
    0.74
    eport
    0.74
    ventus
    0.73
    Pad
    0.73
    oir
    0.73
    ership
    0.72
    lahoma
    0.71
    ileaks
    0.71
    Activations Density 0.036%

    No Known Activations