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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. 3-RES-JB
    11. 24426
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    Explanations

    mentions of specific names like "Reader", "Stafford", and "Pulitzer"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Reader" and related phrases in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enei
    -0.84
    senal
    -0.82
    olated
    -0.80
    bda
    -0.80
    ensen
    -0.80
    laus
    -0.77
    ramer
    -0.76
    otomy
    -0.75
    aska
    -0.72
    rand
    -0.71
    POSITIVE LOGITS
    é¾įå¥ij士
    0.94
     Cyn
    0.88
    DragonMagazine
    0.84
     Reader
    0.80
     Writer
    0.79
     Digest
    0.75
     Literary
    0.73
     Newsp
    0.72
     Readers
    0.71
    æľ
    0.70
    Activations Density 0.028%

    No Known Activations