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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. 11-RES-JB
    11. 11406
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    Explanations

    terms related to vertical positions and structures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vertical alignment and positioning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.89
    monds
    -0.78
    rament
    -0.77
    oleon
    -0.76
    mony
    -0.74
    people
    -0.73
    eer
    -0.73
    mberg
    -0.73
    mble
    -0.70
    xy
    -0.69
    POSITIVE LOGITS
     axis
    1.04
     stripes
    0.94
     stabil
    0.92
    izontal
    0.92
     takeoff
    0.91
     scrolling
    0.89
     dimension
    0.87
     stripe
    0.86
     slit
    0.84
     rect
    0.82
    Activations Density 0.056%

    No Known Activations