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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. 7-RES-JB
    6. 13831
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    Explanations

    names of well-known organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations and associations within sports and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -1.02
    ãĤ¨ãĥ«
    -0.85
    sbm
    -0.83
    hots
    -0.82
    ¿½
    -0.75
     guiActiveUn
    -0.71
    ãĤ½
    -0.68
    etimes
    -0.67
    edIn
    -0.66
    borgh
    -0.66
    POSITIVE LOGITS
     itself
    1.04
     hierarchy
    0.93
     bureaucracy
    0.89
    's
    0.89
     logo
    0.88
     Gazette
    0.86
     presidency
    0.82
     workforce
    0.81
     brass
    0.81
     Museum
    0.80
    Activations Density 0.252%

    No Known Activations