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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. 10-RES-JB
    11. 5428
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    Explanations

    phrases related to preparing for or enabling future actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to initiating pathways or opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aries
    -0.71
    ancies
    -0.67
    wig
    -0.65
     misdem
    -0.63
    rals
    -0.62
     Flu
    -0.60
     veter
    -0.60
     Dahl
    -0.59
    ARS
    -0.59
    inately
    -0.58
    POSITIVE LOGITS
    \\\\\\\\
    1.11
     paving
    1.09
     pave
    1.08
    road
    1.01
    way
    0.97
    WAY
    0.95
    roads
    0.93
     roads
    0.91
     pavement
    0.90
     paved
    0.82
    Activations Density 0.042%

    No Known Activations