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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. 3-RES-JB
    11. 9309
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ory
    -0.68
    rats
    -0.68
    acement
    -0.64
    tale
    -0.64
    Place
    -0.62
    âĨij
    -0.62
    Middle
    -0.61
    iyah
    -0.60
    lees
    -0.59
    pass
    -0.58
    POSITIVE LOGITS
     Veg
    0.73
    stead
    0.71
    apon
    0.70
    ãģ®éŃĶ
    0.65
     Peb
    0.65
     unsub
    0.63
    ibal
    0.62
     answ
    0.62
    agher
    0.61
     obst
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.