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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. 7-RES-JB
    11. 1850
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    INDEX
    Explanations

    mentions of specific names and entities

    oai_token-act-pair · gpt-3.5-turbo

    capitalized proper nouns, particularly names and titles of entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     showc
    -0.70
    arching
    -0.69
     cort
    -0.63
     forth
    -0.62
     contrace
    -0.62
     psychiat
    -0.61
     horm
    -0.59
    forth
    -0.58
     Sylv
    -0.57
     embargo
    -0.56
    POSITIVE LOGITS
    zees
    0.83
    ufact
    0.79
    kas
    0.71
    oola
    0.71
    culosis
    0.70
    emouth
    0.69
    åŃIJ
    0.68
     Beasts
    0.67
    rities
    0.66
    gat
    0.66
    Activations Density 0.303%

    No Known Activations