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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. 14111
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    Explanations

    keywords related to creating, setting up, or establishing something

    oai_token-act-pair · gpt-3.5-turbo

    references to directory structures and organizational frameworks

    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
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    Negative Logits
    hops
    -0.74
     alike
    -0.72
    ibles
    -0.70
    abal
    -0.65
    lees
    -0.64
    tracks
    -0.63
    isans
    -0.61
     except
    -0.61
    luster
    -0.60
    hips
    -0.59
    POSITIVE LOGITS
     each
    0.90
     every
    0.81
    rontal
    0.76
     theirs
    0.75
     behalf
    0.73
     whoever
    0.69
     thanking
    0.67
     tomorrow
    0.67
     Mondays
    0.65
    pload
    0.63
    Activations Density 0.462%

    No Known Activations