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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. 8-RES-JB
    11. 23825
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    Explanations

    numerical measurements and values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to various measurements

    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
     IDs
    -0.69
    uld
    -0.69
    rients
    -0.65
    cause
    -0.65
    ulk
    -0.64
    boxes
    -0.63
     interactions
    -0.62
     tabs
    -0.61
    Mech
    -0.58
     Branch
    -0.58
    POSITIVE LOGITS
     unimaginable
    1.17
     unparalleled
    1.14
     comparable
    1.12
    cedented
    1.11
     unmatched
    1.11
     unprecedented
    1.06
     reminiscent
    1.06
     exceeding
    1.05
    ĸļ
    0.99
     akin
    0.99
    Activations Density 0.561%

    No Known Activations