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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. 0-RES-JB
    11. 2378
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.81
    âĵĺ
    -0.80
    course
    -0.68
     Imper
    -0.66
    ilts
    -0.66
    interrupted
    -0.64
    relative
    -0.63
    èª
    -0.63
    uyomi
    -0.61
     Fram
    -0.61
    POSITIVE LOGITS
     unconsciously
    0.74
    dale
    0.67
    opian
    0.63
    esson
    0.62
    chn
    0.60
     organise
    0.60
     casually
    0.59
    holm
    0.59
    tic
    0.59
     implicitly
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.