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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 9340
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    Explanations

    words related to telecommunication, specifically the word "telegram."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "telegraph" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Augustine
    -0.68
    Tex
    -0.67
    Ware
    -0.65
    cca
    -0.65
    stay
    -0.63
     Hispanics
    -0.63
     Lank
    -0.62
     Hispanic
    -0.61
     Bain
    -0.59
     vacation
    -0.59
    POSITIVE LOGITS
    legraph
    1.58
    icz
    0.92
    kefeller
    0.90
    hedon
    0.88
    hester
    0.88
    ombat
    0.87
     glim
    0.84
    icut
    0.83
    olson
    0.80
    anyahu
    0.79
    Activations Density 0.004%

    No Known Activations