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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. 12-RES-JB
    11. 4396
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    INDEX
    Explanations

    phrases containing the word 'so'

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    expressions of certainty or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ethics
    -0.65
     (>
    -0.63
     Eth
    -0.58
    -0.55
     Fortress
    -0.55
    number
    -0.54
     Encyclopedia
    -0.54
     gaps
    -0.54
     Acting
    -0.54
    Dialogue
    -0.54
    POSITIVE LOGITS
    apy
    1.03
     lucky
    0.96
     forgiving
    0.95
     fortunate
    0.95
    oths
    0.92
     much
    0.92
    bered
    0.92
     straightforward
    0.88
     subtly
    0.87
     simple
    0.85
    Activations Density 0.045%

    No Known Activations