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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. 3-RES-JB
    11. 16554
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    INDEX
    Explanations

    references to traps or explosive devices

    oai_token-act-pair · gpt-3.5-turbo

    references to specific characters or objects in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ioned
    -0.83
    istan
    -0.74
     Nadu
    -0.72
    hips
    -0.70
    ances
    -0.70
    anced
    -0.70
    hip
    -0.67
    clair
    -0.67
    allas
    -0.65
    ŃĶ
    -0.64
    POSITIVE LOGITS
    dump
    0.85
    rahim
    0.84
    gnu
    0.81
    eering
    0.76
     obj
    0.73
    oby
    0.72
    ombie
    0.71
    BY
    0.69
    Dro
    0.69
    \\\\\\\\
    0.67
    Activations Density 0.019%

    No Known Activations