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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. 7-RES-JB
    11. 14325
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    INDEX
    Explanations

    descriptive and colorful adjectives

    oai_token-act-pair · gpt-3.5-turbo

    descriptors and characteristics of characters or themes in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    staking
    -0.72
    TPPStreamerBot
    -0.68
     GOODMAN
    -0.67
    Effective
    -0.64
    VL
    -0.64
    âķIJâķIJ
    -0.61
    FontSize
    -0.58
    Reloaded
    -0.58
    âķIJ
    -0.58
    cially
    -0.57
    POSITIVE LOGITS
    stros
    0.73
    tones
    0.63
    ress
    0.63
     tunes
    0.62
    coon
    0.62
    resses
    0.62
     slut
    0.61
    ivism
    0.61
     tales
    0.61
    aments
    0.61
    Activations Density 0.683%

    No Known Activations