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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. 6-RES-JB
    11. 3717
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nicarag
    -0.78
     Borders
    -0.71
     Galile
    -0.71
     Kern
    -0.70
     confidence
    -0.68
     Harmony
    -0.66
     Norris
    -0.65
     Flores
    -0.64
     Burr
    -0.64
     Pratt
    -0.63
    POSITIVE LOGITS
    based
    1.13
    laden
    1.10
    bearing
    1.04
    related
    1.03
    backed
    1.02
    driven
    1.01
    duty
    1.00
    to
    1.00
    heavy
    0.98
    length
    0.97
    Activations Density 0.118%

    No Known Activations