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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. 4-RES-JB
    11. 16726
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types of "ols" and related terms

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

    No Comments

    Negative Logits
    PRESS
    -0.77
    ŃĶ
    -0.66
    Foot
    -0.65
     Assassins
    -0.64
    Aff
    -0.63
    FACE
    -0.63
     Masters
    -0.62
    liest
    -0.61
    fol
    -0.61
    RELATED
    -0.61
    POSITIVE LOGITS
    atile
    1.09
    ourcing
    1.01
    ights
    0.98
    ols
    0.98
    ources
    0.96
    ength
    0.96
    ums
    0.94
    terday
    0.93
    umn
    0.92
    atility
    0.91
    Activations Density 0.014%

    No Known Activations