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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. 13967
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    Explanations

    names of individuals, likely related to media or public figures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of individuals

    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
    ãĤ¤ãĥĪ
    -0.83
    DAQ
    -0.79
    cffffcc
    -0.69
    ngth
    -0.61
    arine
    -0.60
     Erin
    -0.56
    ERG
    -0.56
    CVE
    -0.56
     til
    -0.56
    IUM
    -0.55
    POSITIVE LOGITS
    acco
    0.84
     Lines
    0.71
    appa
    0.66
    asca
    0.64
    batch
    0.63
    bia
    0.61
     Archdemon
    0.61
    aldi
    0.59
    antz
    0.58
    leck
    0.57
    Activations Density 0.101%

    No Known Activations