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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. 1255
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    Explanations

    opportune moments or transitional phases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to opportunities and timing

    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
    rahim
    -0.74
    )].
    -0.65
    endants
    -0.64
     workings
    -0.60
    existing
    -0.59
    lain
    -0.58
     descendants
    -0.56
    alin
    -0.56
    achev
    -0.56
    strip
    -0.54
    POSITIVE LOGITS
     opp
    1.01
     time
    0.99
     opportunity
    0.92
    opt
    0.91
    time
    0.88
     chance
    0.85
     deadline
    0.81
    days
    0.75
     moment
    0.73
     wiser
    0.73
    Activations Density 0.108%

    No Known Activations