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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. 10-RES-JB
    11. 12575
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    INDEX
    Explanations

    names of companies or brands

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and lists of entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eat
    -0.70
    esthetic
    -0.65
    etting
    -0.65
    illusion
    -0.64
    pleasant
    -0.63
    ppings
    -0.63
    ":"/
    -0.63
    ãĥīãĥ©
    -0.63
    advertising
    -0.63
    beck
    -0.63
    POSITIVE LOGITS
     others
    1.44
     assorted
    1.04
     countless
    1.02
     Others
    1.01
     finally
    1.01
     many
    0.89
     elsewhere
    0.88
     innumerable
    0.87
    etc
    0.85
     possibly
    0.85
    Activations Density 0.167%

    No Known Activations