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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. 8-RES-JB
    11. 862
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    Explanations

    words related to rejection or being turned down

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rejection and dismissals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.73
    isd
    -0.68
    inki
    -0.68
    ortal
    -0.67
    vity
    -0.66
    ipel
    -0.64
     encyclopedia
    -0.63
    ussen
    -0.63
    vern
    -0.62
    ickr
    -0.62
    POSITIVE LOGITS
     outright
    0.84
    Ĥª
    0.77
    olicited
    0.76
     pleas
    0.75
     suggestions
    0.74
    pelled
    0.73
     propositions
    0.73
    kus
    0.72
     hypotheses
    0.72
     attempts
    0.71
    Activations Density 0.042%

    No Known Activations