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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. 6-RES-JB
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    Explanations

    mentions of the word "Telegraph"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Telegraph."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    regn
    -0.77
    perm
    -0.74
    vae
    -0.73
    etime
    -0.72
    addafi
    -0.71
     tuna
    -0.65
    tesy
    -0.64
    vasive
    -0.63
    jury
    -0.63
    ellen
    -0.61
    POSITIVE LOGITS
     Telegraph
    0.99
     Newsp
    0.90
    shire
    0.89
    legraph
    0.89
    biz
    0.83
    orial
    0.83
     Editorial
    0.80
     publishes
    0.80
    sburg
    0.78
    ulla
    0.76
    Activations Density 0.014%

    No Known Activations