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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. 3674
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    Explanations

    phrases related to actions or involvement of different entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating involvement and actions taken by entities

    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
    everything
    -0.76
    Nothing
    -0.73
    perfect
    -0.72
    first
    -0.72
     invariably
    -0.72
    never
    -0.71
    only
    -0.70
    whatever
    -0.70
    until
    -0.69
    aos
    -0.69
    POSITIVE LOGITS
     other
    0.79
     mention
    0.73
     another
    0.71
     mentions
    0.71
     some
    0.71
    autions
    0.70
     indirectly
    0.67
     endorsements
    0.66
     several
    0.66
     notable
    0.65
    Activations Density 0.514%

    No Known Activations