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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. 5831
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    Explanations

    technical terms related to camera equipment and specifications

    oai_token-act-pair · gpt-3.5-turbo

    numerical specifications related to camera technology

    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
    vag
    -0.75
    eering
    -0.74
    chairs
    -0.70
    ventory
    -0.66
    CRIP
    -0.65
     Intellectual
    -0.65
     replay
    -0.64
    sent
    -0.64
     Poo
    -0.64
    amins
    -0.63
    POSITIVE LOGITS
     lens
    0.97
     aperture
    0.97
     Lens
    0.90
    perture
    0.86
     lenses
    0.82
     Leica
    0.78
     angled
    0.78
     curv
    0.75
     radial
    0.75
     widened
    0.74
    Activations Density 0.073%

    No Known Activations