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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. 9525
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    Explanations

    questions and exclamations ending in a question mark

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aku
    -0.77
     background
    -0.73
    apter
    -0.72
    ishable
    -0.69
     encount
    -0.68
    enture
    -0.66
    neau
    -0.65
    alist
    -0.65
    ality
    -0.65
     canoe
    -0.64
    POSITIVE LOGITS
     Surely
    1.06
     Anyway
    0.97
     Well
    0.95
     Why
    0.95
    ?:
    0.95
     Where
    0.94
     Isn
    0.94
     Probably
    0.94
    ?!
    0.93
     Somebody
    0.91
    Activations Density 0.092%

    No Known Activations