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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. 15331
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    Explanations

    sentence endings with punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly periods and brackets

    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
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    No Comments

    Negative Logits
     intensive
    -0.68
     nearest
    -0.66
     volunte
    -0.65
    ient
    -0.63
     Rebell
    -0.63
     resil
    -0.63
    ettlement
    -0.62
     familiar
    -0.62
     terr
    -0.62
     closest
    -0.62
    POSITIVE LOGITS
    ...]
    1.26
    âĢ¦]
    1.22
    note
    1.12
    Pg
    1.11
    src
    1.00
     citation
    0.97
    ?]
    0.96
    Footnote
    0.96
    edit
    0.91
    source
    0.89
    Activations Density 0.034%

    No Known Activations