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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. 7-RES-JB
    11. 2999
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    Explanations

    alphanumeric sequences and symbols that don't form words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their related symbols or formatting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oqu
    -0.67
    afety
    -0.62
    ancies
    -0.62
    eneg
    -0.62
    aiman
    -0.62
    orsche
    -0.61
    incial
    -0.60
    olicy
    -0.60
    \\\\\\\\
    -0.59
    uthor
    -0.59
    POSITIVE LOGITS
    ))))
    0.95
     attRot
    0.93
     respectively
    0.84
    etc
    0.83
    )).
    0.82
    )))
    0.79
     )))
    0.78
     WRITE
    0.77
    ;;;;;;;;;;;;
    0.76
     etc
    0.75
    Activations Density 0.812%

    No Known Activations