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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. 2837
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    Explanations

    words related to defeat or failure

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to defeat or loss

    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
    ridges
    -0.71
     eyed
    -0.66
    oline
    -0.65
    rison
    -0.63
     liner
    -0.63
    liner
    -0.63
    olina
    -0.63
     intakes
    -0.63
    olen
    -0.59
    Origin
    -0.59
    POSITIVE LOGITS
    ingly
    0.76
     Voldemort
    0.72
    ables
    0.71
    vich
    0.70
    nces
    0.68
    blow
    0.66
    xual
    0.66
    aciously
    0.66
     challenger
    0.65
     insur
    0.62
    Activations Density 0.071%

    No Known Activations