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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. 11-RES-JB
    11. 11139
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    Explanations

    variables and their numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values associated with variables in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bread
    -0.75
    ooks
    -0.75
    funding
    -0.72
    sylv
    -0.72
    iere
    -0.67
    alysis
    -0.65
    sic
    -0.64
    WAYS
    -0.64
    aly
    -0.63
    rup
    -0.63
    POSITIVE LOGITS
     stored
    1.06
     computed
    0.94
     returned
    0.91
     converter
    0.86
     displayed
    0.85
     values
    0.83
     representing
    0.82
     vec
    0.81
     passed
    0.81
     interpol
    0.80
    Activations Density 0.034%

    No Known Activations