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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. 19325
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks at the end of sentences

    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
     extinct
    -0.83
     pudding
    -0.82
     forestry
    -0.79
     girlfriends
    -0.79
    unts
    -0.77
     consistency
    -0.75
     butcher
    -0.75
     ditch
    -0.73
     shove
    -0.73
     slap
    -0.72
    POSITIVE LOGITS
     Afterwards
    1.15
     Participants
    1.11
     Tickets
    1.11
     Previously
    1.08
     Immediately
    1.05
     Representatives
    1.04
     Initially
    1.03
     Proceed
    1.03
     Thirty
    1.02
     During
    1.02
    Activations Density 0.338%

    No Known Activations