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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. 9-RES-JB
    11. 7192
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    Explanations

    numerical stats related to baseball pitching performances, particularly Earned Run Average (ERA)

    oai_token-act-pair · gpt-3.5-turbo
    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
     conting
    -0.74
     Processing
    -0.71
    cul
    -0.66
    OPA
    -0.66
     BUS
    -0.65
    atom
    -0.65
    opol
    -0.65
    hod
    -0.65
    effects
    -0.65
    ocrates
    -0.64
    POSITIVE LOGITS
    antage
    0.87
    +.
    0.84
     rating
    0.83
     fastball
    0.81
     averaging
    0.79
    +,
    0.79
     (.
    0.78
    nces
    0.75
     Rookie
    0.73
     offensively
    0.72
    Activations Density 0.113%

    No Known Activations