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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. 6-RES-JB
    11. 10918
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    Explanations

    exclamatory expressions and commands

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     surpr
    -0.84
    undai
    -0.80
     manif
    -0.79
     confir
    -0.76
    Ö¼
    -0.75
     neighb
    -0.74
     destro
    -0.74
     encount
    -0.74
     livest
    -0.72
    ylum
    -0.72
    POSITIVE LOGITS
    @#&
    1.23
    #$
    1.11
    ?!
    0.94
    @#
    0.89
     Come
    0.84
     Somebody
    0.82
     Everybody
    0.82
     Euph
    0.82
     Shine
    0.81
     Everywhere
    0.80
    Activations Density 0.059%

    No Known Activations