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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. 6-RES-JB
    11. 2891
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    INDEX
    Explanations

    references to legal or judicial processes

    oai_token-act-pair · gpt-3.5-turbo

    instances of proper nouns or specific names, likely related to authors or significant individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prest
    -0.73
     attribution
    -0.61
     allocations
    -0.59
     routines
    -0.58
    ogether
    -0.58
     quota
    -0.57
     entire
    -0.57
     increments
    -0.57
     compilation
    -0.57
     antid
    -0.56
    POSITIVE LOGITS
    zbollah
    0.68
    nee
    0.67
     Gentleman
    0.67
    oglu
    0.63
    Rat
    0.59
    Streamer
    0.59
     ..........
    0.58
    ħĭ
    0.57
    Zen
    0.56
    itars
    0.55
    Activations Density 0.299%

    No Known Activations