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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. 18927
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    Explanations

    phrases related to challenges or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" and references to challenges or issues

    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
    athe
    -0.75
    coins
    -0.68
     hugs
    -0.65
     curls
    -0.65
    anism
    -0.64
     ensu
    -0.64
    anges
    -0.64
     ie
    -0.61
    evidence
    -0.61
    Edit
    -0.61
    POSITIVE LOGITS
     lot
    1.24
     plethora
    1.16
     bunch
    1.02
     slew
    0.98
     tremendous
    0.96
     considerable
    0.95
     huge
    0.94
     few
    0.94
     sizeable
    0.94
     handful
    0.93
    Activations Density 0.458%

    No Known Activations