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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. 12-RES-JB
    11. 3350
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    Explanations

    negative statements or refusals

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    negative statements or the word "not"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    PDATE
    -1.01
    senal
    -0.98
    Ô
    -0.98
     practition
    -0.87
     adolesc
    -0.87
     srf
    -0.86
     behavi
    -0.85
    CRIP
    -0.83
     Thumbnails
    -0.83
     millenn
    -0.82
    POSITIVE LOGITS
     hesitated
    1.26
     yet
    1.23
     commented
    1.23
     bothered
    1.22
    ched
    1.18
     responded
    1.18
     fared
    1.17
     been
    1.16
     ruled
    1.15
     disclosed
    1.14
    Activations Density 0.052%

    No Known Activations