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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. 814
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    Explanations

    names of individuals with job titles and affiliations

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "at" followed by various roles or positions in professional 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
    Russ
    -0.76
    VIDEO
    -0.72
    ptions
    -0.72
    alpha
    -0.71
    tools
    -0.68
    worthiness
    -0.66
    material
    -0.66
    gently
    -0.66
    selves
    -0.66
    Pac
    -0.66
    POSITIVE LOGITS
     least
    1.05
    onement
    0.95
    abase
    0.93
    yp
    0.80
    rial
    0.77
    rium
    0.77
    letico
    0.75
     variance
    0.74
     logger
    0.72
     sea
    0.71
    Activations Density 0.179%

    No Known Activations