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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. 15570
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    empty or unfilled sections of text

    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
    Ò
    -0.84
    Ïī
    -0.75
    thood
    -0.72
     beforehand
    -0.72
    !.
    -0.71
    earch
    -0.69
    --+
    -0.69
    gpu
    -0.67
    ÏĢ
    -0.66
    ufact
    -0.66
    POSITIVE LOGITS
    oret
    1.61
    resa
    1.49
    odore
    1.30
    ories
    1.26
     irony
    1.18
     simplest
    1.13
     downside
    1.11
     implication
    1.08
     notion
    1.05
     biggest
    1.03
    Activations Density 0.470%

    No Known Activations