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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. 3458
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    Explanations

    phrases related to levels or positions, including words with hyphens indicating hierarchy or comparison

    oai_token-act-pair · gpt-3.5-turbo

    references to ground-level situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Braz
    -0.66
     Sawyer
    -0.63
     Doodle
    -0.62
     Phelps
    -0.61
     beads
    -0.60
    ĵĺ
    -0.59
     Kappa
    -0.59
     bos
    -0.57
    Ń·
    -0.57
     Kru
    -0.57
    POSITIVE LOGITS
    based
    0.99
    mounted
    0.92
    of
    0.90
    quartered
    0.87
    stage
    0.87
    floor
    0.87
    ground
    0.86
    level
    0.83
    condition
    0.81
    pound
    0.80
    Activations Density 0.069%

    No Known Activations