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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. 4-RES-JB
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    Explanations

    proper nouns related to the place named "Bas"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Basque" in relation to various contexts and themes

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

    No Comments

    Negative Logits
    rieve
    -0.77
    raught
    -0.72
     Yankee
    -0.69
     Oaks
    -0.66
    entric
    -0.64
    oiler
    -0.64
    oppable
    -0.63
    estern
    -0.62
     screen
    -0.60
     Podesta
    -0.59
    POSITIVE LOGITS
    ches
    0.98
    sembly
    0.92
    chet
    0.90
    emark
    0.89
    xual
    0.87
    ework
    0.85
    idi
    0.82
    eline
    0.82
    ement
    0.82
    inet
    0.81
    Activations Density 0.010%

    No Known Activations