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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. 13594
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    Explanations

    proper nouns, particularly names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ark" in various contexts

    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
     unnecess
    -0.67
     livest
    -0.65
     mater
    -0.63
     Romeo
    -0.58
     groove
    -0.58
     reckoned
    -0.58
     bom
    -0.58
    XY
    -0.58
    ahon
    -0.58
     McCabe
    -0.57
    POSITIVE LOGITS
    ansas
    1.36
    ozy
    1.06
    itect
    1.01
    enment
    0.96
    anian
    0.87
    entin
    0.86
    eting
    0.86
    ulic
    0.83
    ening
    0.83
    er
    0.83
    Activations Density 0.008%

    No Known Activations