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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. 11-RES-JB
    11. 724
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of characters or significant entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.85
     referen
    -0.73
     flared
    -0.71
     confir
    -0.70
     pione
    -0.69
    Þ
    -0.68
     distingu
    -0.67
     eleph
    -0.65
     acknow
    -0.62
     infographic
    -0.62
    POSITIVE LOGITS
    usky
    0.91
    oliath
    0.87
    anski
    0.86
    len
    0.84
    imaru
    0.84
    obar
    0.82
    ita
    0.82
    neau
    0.82
    amac
    0.81
    igan
    0.80
    Activations Density 0.255%

    No Known Activations