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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. 10-RES-JB
    11. 13911
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    Explanations

    phrases related to acceptance or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "grade" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.80
     Lei
    -0.72
    eer
    -0.68
     quo
    -0.65
    ĸļ
    -0.62
    ership
    -0.60
     shortened
    -0.57
     Metall
    -0.56
     surveillance
    -0.56
     Bie
    -0.56
    POSITIVE LOGITS
    iffin
    1.35
    anted
    1.25
    ayson
    1.19
    udge
    1.19
    anny
    1.19
    umpy
    1.14
    iff
    1.13
    ace
    1.13
    ateful
    1.13
    untled
    1.13
    Activations Density 0.023%

    No Known Activations