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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. 12270
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    Explanations

    references to a specific source, in this case, the "Telegraph."

    oai_token-act-pair · gpt-3.5-turbo

    the term "Telegraph" and its variations, indicating a focus on referenced reports or articles from the Telegraph newspaper

    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
    regn
    -0.76
    perm
    -0.67
    venge
    -0.67
    neutral
    -0.65
    cess
    -0.63
    fighting
    -0.61
    sharing
    -0.61
    razil
    -0.61
    vasive
    -0.61
    stood
    -0.60
    POSITIVE LOGITS
     Telegraph
    1.11
    legraph
    0.91
    ulla
    0.88
    ieth
    0.85
    shire
    0.80
     Tycoon
    0.78
    orial
    0.76
    biz
    0.74
    legram
    0.73
    icate
    0.73
    Activations Density 0.004%

    No Known Activations