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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. 6-RES-JB
    11. 17030
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    Explanations

    mentions of classic-themed elements, such as classic images, classic Hollywood, classic cars, classic literature, etc

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "classic" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    foreseen
    -0.71
    heed
    -0.70
     Simulator
    -0.69
    reen
    -0.68
    OTUS
    -0.67
    earcher
    -0.65
    lesh
    -0.61
    larg
    -0.60
    atoon
    -0.60
     stead
    -0.59
    POSITIVE LOGITS
    arily
    0.92
    ists
    0.75
    icals
    0.74
    isation
    0.74
    ised
    0.74
    ocl
    0.73
    ical
    0.72
    isable
    0.69
     Revival
    0.69
    iary
    0.68
    Activations Density 0.021%

    No Known Activations