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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. 2-RES-JB
    11. 14959
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    Explanations

    words related to specific names, likely focusing on names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with specific individuals or organizations in a political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Minotaur
    -0.77
     Hodg
    -0.73
     Wax
    -0.72
    IVER
    -0.69
    umber
    -0.69
     Curt
    -0.67
     Veg
    -0.67
    ppa
    -0.66
    beck
    -0.64
     Hydra
    -0.63
    POSITIVE LOGITS
    intosh
    1.04
    Afee
    0.97
    ahime
    0.85
    eering
    0.84
    rency
    0.84
    rov
    0.83
    arov
    0.79
    ishop
    0.79
    resp
    0.78
    aghd
    0.77
    Activations Density 0.021%

    No Known Activations