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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. 9-RES-JB
    6. 21492
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    Explanations

    words related to conducting trials or experiments

    oai_token-act-pair · gpt-3.5-turbo

    the repeated instances of the word "test" and its variations, indicating a focus on evaluation or experimentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.72
    brance
    -0.71
    lance
    -0.69
    nown
    -0.68
    \-
    -0.66
    vation
    -0.65
    ometown
    -0.65
    nick
    -0.63
    apo
    -0.63
    ffe
    -0.63
    POSITIVE LOGITS
     hypotheses
    0.98
    osterone
    0.88
    ifies
    0.81
    orously
    0.80
     whether
    0.80
     hypothesis
    0.70
    ify
    0.69
    imon
    0.69
     feasibility
    0.68
    onom
    0.68
    Activations Density 0.078%

    No Known Activations