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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. 7245
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    INDEX
    Explanations

    adjectives describing the quality of something

    oai_token-act-pair · gpt-3.5-turbo

    assertions about quality and conditions related to various subjects

    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
    edIn
    -0.73
    ourt
    -0.69
    quin
    -0.65
    azine
    -0.64
     Trip
    -0.61
     Critics
    -0.60
    illard
    -0.60
    reply
    -0.60
     Christianity
    -0.60
     Reports
    -0.60
    POSITIVE LOGITS
    nt
    0.80
     muted
    0.77
     hereby
    0.76
     unmist
    0.76
     definitely
    0.70
     undeniable
    0.68
     not
    0.67
     bitters
    0.67
     manageable
    0.66
     unclear
    0.66
    Activations Density 0.344%

    No Known Activations