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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. 17509
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    Explanations

    phrases related to strong opinions or assertions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating extreme negativity or disapproval

    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
    eport
    -0.73
    isson
    -0.72
    etheus
    -0.71
    ittal
    -0.70
    ivities
    -0.70
    ulton
    -0.70
    emis
    -0.70
    ibo
    -0.70
     lightly
    -0.68
    psons
    -0.65
    POSITIVE LOGITS
     disregard
    0.81
     contradict
    0.78
     contradicted
    0.78
     rejection
    0.76
     refusal
    0.74
     contradicts
    0.73
    Wr
    0.73
     liar
    0.73
     deny
    0.73
     denial
    0.72
    Activations Density 0.113%

    No Known Activations