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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. 4-RES-JB
    11. 15907
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    Explanations

    phrases describing the physical location or arrangement of objects or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the placement or arrangement of objects or situations

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

    No Comments

    Negative Logits
    vous
    -0.92
    ilee
    -0.88
    externalActionCode
    -0.85
    ilk
    -0.80
    bey
    -0.78
    core
    -0.78
    cean
    -0.76
    lde
    -0.76
    burn
    -0.75
    olla
    -0.74
    POSITIVE LOGITS
     positioning
    0.92
     positioned
    0.89
    eering
    0.82
     position
    0.81
     placement
    0.78
     misunder
    0.78
     positions
    0.77
     strategically
    0.73
    aution
    0.73
     tremend
    0.73
    Activations Density 0.044%

    No Known Activations