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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. 13945
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    Explanations

    locations or entities followed by a possessive form

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups and their actions or statuses in a narrative context

    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
     beforehand
    -0.79
    acted
    -0.78
    ascript
    -0.73
     initially
    -0.72
    agus
    -0.71
    mental
    -0.68
     hitherto
    -0.63
     Provided
    -0.63
    iterator
    -0.62
     previous
    -0.62
    POSITIVE LOGITS
    here
    0.75
     realise
    0.74
     realizes
    0.73
     realize
    0.72
     wonder
    0.72
     finally
    0.71
     again
    0.71
    nir
    0.70
     gotta
    0.66
     faces
    0.64
    Activations Density 0.242%

    No Known Activations