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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. 10-RES-JB
    11. 12546
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    Explanations

    mentions of proper nouns related to people or characters in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to the acronym "MB" or similar sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hazard
    -0.64
     unprotected
    -0.61
     parallels
    -0.60
    aways
    -0.60
     warrants
    -0.59
    apon
    -0.59
     failing
    -0.58
     impulse
    -0.58
    zona
    -0.58
     smelling
    -0.56
    POSITIVE LOGITS
    iotic
    1.11
    abwe
    1.03
    iosis
    1.02
    assy
    1.01
    ular
    0.94
    uild
    0.94
    ols
    0.92
    isoft
    0.88
    untu
    0.88
    achu
    0.87
    Activations Density 0.030%

    No Known Activations