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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. 1-RES-JB
    11. 7223
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    abol
    -0.71
    oshenko
    -0.65
    interrupted
    -0.63
     Roof
    -0.60
    floor
    -0.60
    pora
    -0.59
    dule
    -0.59
    wagen
    -0.59
    OTA
    -0.59
     Dob
    -0.57
    POSITIVE LOGITS
     href
    1.28
    ="#
    1.25
    ":"/
    1.01
    ="/
    0.98
    ://
    0.82
    endor
    0.80
    ="
    0.78
    ãĤ´
    0.76
    ãĥĺãĥ©
    0.75
    =""
    0.74
    Activations Density 0.007%

    No Known Activations