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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. 3030
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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
    Not in Any Lists

    No Comments

    Negative Logits
    otin
    -0.88
     Uri
    -0.76
    alde
    -0.75
    elsen
    -0.75
    blast
    -0.74
    RFC
    -0.74
     destro
    -0.73
     tremend
    -0.73
    etheless
    -0.72
     Wass
    -0.71
    POSITIVE LOGITS
     Agenda
    0.77
     Topic
    0.75
    ificant
    0.66
    Continue
    0.64
    place
    0.63
    XY
    0.61
     Fixes
    0.61
    iterator
    0.60
    Character
    0.59
    Progress
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.