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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. 9-RES-JB
    11. 23444
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    Explanations

    random characters and usernames rather than coherent linguistic patterns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the End-of-Text token

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agre
    -0.84
     undermin
    -0.73
     princ
    -0.70
     destro
    -0.69
     scrut
    -0.67
     predec
    -0.67
     incent
    -0.67
     livest
    -0.66
     contrace
    -0.65
     compr
    -0.63
    POSITIVE LOGITS
     âĵĺ
    0.79
     ãĥ
    0.76
     Quote
    0.73
    )=(
    0.72
    ;;;;;;;;;;;;
    0.72
    ":{"
    0.71
    __
    0.69
    É
    0.69
     Profile
    0.69
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.68
    Activations Density 0.358%

    No Known Activations