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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. 6-RES-JB
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    Explanations

    mentions of the word "bell" within varying contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bell."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.87
    xual
    -0.73
    rity
    -0.72
    raviolet
    -0.70
     Agents
    -0.69
     appropriation
    -0.64
     unpre
    -0.64
    POR
    -0.64
    ACTION
    -0.63
    llers
    -0.63
    POSITIVE LOGITS
     bells
    1.03
    bell
    1.01
    ows
    0.97
     bell
    0.90
    iod
    0.87
     ringing
    0.86
    ies
    0.83
    owed
    0.82
    holes
    0.81
     rang
    0.81
    Activations Density 0.017%

    No Known Activations