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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. 9-RES-JB
    11. 19783
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    Explanations

    phrases related to achieving success or improvement

    oai_token-act-pair · gpt-3.5-turbo

    contributions and references to success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    killed
    -0.74
    buster
    -0.73
    runners
    -0.73
    hur
    -0.68
    rose
    -0.68
    fired
    -0.67
    released
    -0.67
    ios
    -0.66
    aunder
    -0.66
    username
    -0.65
    POSITIVE LOGITS
     spite
    1.39
     terms
    1.29
     lieu
    1.16
     somew
    1.09
     regards
    1.09
     relation
    1.08
     accordance
    1.07
     vain
    1.07
     order
    1.02
     adversity
    0.98
    Activations Density 0.281%

    No Known Activations