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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. 9-RES-JB
    11. 15934
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    Explanations

    phrases related to actions that may involve decision-making or moral judgment

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to opportunities and willingness to help or engage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mourning
    -0.59
     Miscellaneous
    -0.58
     Worse
    -0.57
    phans
    -0.56
     Survivors
    -0.56
    igmat
    -0.55
     Governors
    -0.55
     tarn
    -0.54
    neum
    -0.54
     Revelations
    -0.54
    POSITIVE LOGITS
     gladly
    1.02
    ."
    0.82
     accordingly
    0.81
    .''
    0.81
    starter
    0.80
    !
    0.80
    !.
    0.78
    brainer
    0.77
    .
    0.77
    ."[
    0.77
    Activations Density 0.867%

    No Known Activations