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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. 4-RES-JB
    11. 24244
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    Explanations

    strings of numbers in the format ###-###

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and identifiers, particularly related to quantities and statistics

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

    No Comments

    Negative Logits
    ĸļ
    -0.71
     reckoning
    -0.62
     Jaw
    -0.62
    erer
    -0.60
    aida
    -0.59
    inge
    -0.59
    arse
    -0.59
    esty
    -0.58
    nosis
    -0.58
    izzy
    -0.57
    POSITIVE LOGITS
    =-=-
    0.73
    509
    0.70
    000
    0.70
    taboola
    0.70
    450
    0.69
     mph
    0.67
    ophers
    0.67
     Marketable
    0.65
    cies
    0.65
    ombat
    0.65
    Activations Density 0.249%

    No Known Activations