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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. 7083
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    Explanations

    descriptions related to design elements and visual aesthetics

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to visual and immersive design

    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
     unsuccessfully
    -0.82
    failed
    -0.70
    ecause
    -0.65
    earchers
    -0.65
     unsuccessful
    -0.65
    avorable
    -0.64
    ivably
    -0.63
     derogatory
    -0.63
     poorer
    -0.63
    itatively
    -0.63
    POSITIVE LOGITS
    +.
    0.74
     accent
    0.71
    .</
    0.71
     accents
    0.70
     soundtrack
    0.70
    !
    0.66
     attRot
    0.65
     shine
    0.64
    )!
    0.64
    !".
    0.64
    Activations Density 0.913%

    No Known Activations