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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. 23255
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    Explanations

    phrases that emphasize a message or intention

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    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
    byss
    -0.86
     pione
    -0.77
     teasp
    -0.72
    ridor
    -0.72
    ActionCode
    -0.72
    SourceFile
    -0.72
    ü
    -0.72
    ă
    -0.71
    Ĝ
    -0.71
    ù
    -0.71
    POSITIVE LOGITS
     someday
    0.98
     they
    0.97
     there
    0.95
     nothing
    0.89
     despite
    0.89
     whatever
    0.89
     unless
    0.84
     THEY
    0.83
     although
    0.82
     something
    0.82
    Activations Density 0.231%

    No Known Activations