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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. 11-RES-JB
    11. 1642
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    INDEX
    Explanations

    phrases related to caution or warning

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases and outcomes related to planning and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     Cosponsors
    -0.86
    olitan
    -0.81
    TPPStreamerBot
    -0.74
    abama
    -0.72
    emale
    -0.72
    cedented
    -0.71
    ivalent
    -0.69
     Tradable
    -0.67
    atri
    -0.67
    displayText
    -0.67
    POSITIVE LOGITS
     things
    1.28
     everything
    1.19
     your
    1.18
     you
    1.14
     something
    1.12
     somebody
    1.06
     someone
    1.06
     nothing
    0.99
     mistakes
    0.99
     boredom
    0.90
    Activations Density 0.379%

    No Known Activations