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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. 861
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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
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    No Comments

    Negative Logits
    ĪĴ
    -0.70
    TextColor
    -0.62
    lehem
    -0.62
    Ô
    -0.61
     delay
    -0.60
     foreskin
    -0.60
     provisional
    -0.59
    ategory
    -0.59
    ailability
    -0.58
     precedence
    -0.58
    POSITIVE LOGITS
    acher
    0.72
    esis
    0.71
    geist
    0.70
    opter
    0.69
    achers
    0.69
    ophon
    0.68
    ocide
    0.66
    ograph
    0.65
    etch
    0.65
    Balt
    0.64
    Activations Density 0.061%

    No Known Activations