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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. 8-RES-JB
    11. 11343
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    Explanations

    technical instructions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    statements discussing causes and effects or methods of achieving outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    robe
    -0.64
    ngth
    -0.62
    farious
    -0.62
    dule
    -0.60
    abytes
    -0.60
    osal
    -0.59
     thereto
    -0.59
    steamapps
    -0.59
    ãĥ¼ãĥ³
    -0.59
    ['
    -0.58
    POSITIVE LOGITS
    SourceFile
    0.85
     HUGE
    0.67
     explan
    0.65
    arity
    0.65
     Econom
    0.65
     incidentally
    0.64
    catentry
    0.64
     pecul
    0.64
     horm
    0.64
     illustrated
    0.63
    Activations Density 0.528%

    No Known Activations