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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. 20133
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    Explanations

    references to a source named "Many" followed by a variety of topics or themes

    oai_token-act-pair · gpt-3.5-turbo

    the word "Many" at varying levels of emphasis, suggesting a focus on quantity or prevalence

    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
    Ö
    -0.68
     guiActiveUnfocused
    -0.65
    cum
    -0.64
    atum
    -0.60
    arium
    -0.60
    ocracy
    -0.58
    etermined
    -0.58
    ogenic
    -0.57
    ocratic
    -0.56
    adiator
    -0.56
    POSITIVE LOGITS
    een
    0.91
    body
    0.89
    theless
    0.89
     Examples
    0.77
     importantly
    0.72
     commenters
    0.71
     Questions
    0.71
     Benefits
    0.69
    Wiki
    0.69
     similarities
    0.69
    Activations Density 0.050%

    No Known Activations