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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. 6-RES-JB
    11. 23761
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    Explanations

    hyphenated phrases indicating urgency or timeliness

    oai_token-act-pair · gpt-3.5-turbo

    references to last-minute changes or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Noir
    -0.67
     Pwr
    -0.67
     McKenna
    -0.65
     Vaughn
    -0.65
     Dickinson
    -0.64
     Olsen
    -0.64
     juggling
    -0.62
    UAL
    -0.61
    é¾
    -0.60
     Feldman
    -0.59
    POSITIVE LOGITS
    generation
    1.13
    minded
    1.02
    grade
    0.98
    time
    0.95
    thinking
    0.95
    looking
    0.93
    interstitial
    0.93
    serving
    0.92
    contact
    0.91
    sized
    0.91
    Activations Density 0.067%

    No Known Activations