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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 6444
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    Explanations

    single characters in specific sequences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'E' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bleach
    -0.71
    ifiers
    -0.65
     Io
    -0.65
    wagen
    -0.63
    ifiable
    -0.62
     Hayward
    -0.62
     minds
    -0.62
     Anthem
    -0.60
    ãĤ¤ãĥĪ
    -0.59
    ifier
    -0.59
    POSITIVE LOGITS
    LECT
    1.23
    lements
    1.22
    ighty
    1.19
    instein
    1.13
    agle
    1.12
    TERN
    1.11
    ASY
    1.10
    clipse
    1.10
    tymology
    1.09
    ternally
    1.09
    Activations Density 0.034%

    No Known Activations