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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. 8085
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    Explanations

    concepts related to opposition or criticism

    oai_token-act-pair · gpt-3.5-turbo

    terms related to opposition, complaints, and historical context

    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
     blah
    -0.77
     shroud
    -0.74
     wool
    -0.73
     hol
    -0.72
     bake
    -0.67
     pow
    -0.66
     DRAG
    -0.66
     shield
    -0.65
     sanctuary
    -0.65
     polyg
    -0.64
    POSITIVE LOGITS
    roximately
    1.25
    withstanding
    1.10
    iction
    1.10
    initions
    1.10
    vertising
    1.07
    ications
    1.07
    resa
    1.06
    reprene
    1.04
    icularly
    1.03
    inarily
    1.03
    Activations Density 0.205%

    No Known Activations