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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. 11929
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    INDEX
    Explanations

    mentions of entities leading others in a particular context or action

    oai_token-act-pair · gpt-3.5-turbo

    terms related to leadership and guidance 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
    dated
    -0.64
     cov
    -0.63
     props
    -0.62
     lett
    -0.61
    Pub
    -0.60
     perspect
    -0.58
    assets
    -0.58
    doi
    -0.58
     timestamp
    -0.57
    cé
    -0.57
    POSITIVE LOGITS
    udic
    0.81
    enium
    0.78
    htaking
    0.74
    inki
    0.71
    aida
    0.70
    ahime
    0.68
    ardless
    0.68
    anche
    0.67
    athlon
    0.66
    rollers
    0.66
    Activations Density 0.126%

    No Known Activations