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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. 9344
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    Explanations

    miscellaneous lists or items listed

    oai_token-act-pair · gpt-3.5-turbo

    the presence of various lists mentioned in the text

    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
     Aber
    -0.76
    icago
    -0.65
     Huck
    -0.61
     Farmer
    -0.61
     Fine
    -0.60
    irgin
    -0.59
    icer
    -0.59
     Ath
    -0.58
     Abbey
    -0.58
     merry
    -0.58
    POSITIVE LOGITS
    erv
    1.18
    icles
    0.94
    icle
    0.92
    lists
    0.88
    ening
    0.88
    abet
    0.86
    ener
    0.86
    erve
    0.84
     comprehens
    0.82
    lessness
    0.81
    Activations Density 0.048%

    No Known Activations