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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21175
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    Explanations

    numbers related to technical specifications or statistics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number '88' within the text

    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
    gets
    -0.98
    folk
    -0.77
    kson
    -0.71
    ikk
    -0.71
    thodox
    -0.70
     Bis
    -0.68
    arent
    -0.66
    maid
    -0.65
    lic
    -0.64
    metry
    -0.63
    POSITIVE LOGITS
    80
    1.08
    88
    0.97
    70
    0.93
    eenth
    0.89
    68
    0.88
    60
    0.87
    77
    0.86
    889
    0.85
    een
    0.85
    00
    0.84
    Activations Density 0.026%

    No Known Activations