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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. 3-RES-JB
    11. 8166
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    Explanations

    adjectives describing quality or characteristics of things

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives and evaluative phrases related to situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggles
    -0.66
    robe
    -0.60
    dos
    -0.60
    dress
    -0.59
    roots
    -0.57
    hawks
    -0.54
    arms
    -0.54
     Sierra
    -0.53
     VIDEOS
    -0.53
     assumes
    -0.52
    POSITIVE LOGITS
    urated
    0.75
    omorphic
    0.74
     enough
    0.69
     Ichigo
    0.67
    odynam
    0.60
    arily
    0.58
     toast
    0.57
    actly
    0.57
    ptin
    0.57
    vable
    0.56
    Activations Density 1.612%

    No Known Activations