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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. 7-RES-JB
    11. 7240
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    words ending in 'ing' or 's'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vier
    -0.81
    arant
    -0.66
    rouse
    -0.65
    alys
    -0.64
    imet
    -0.61
    dinand
    -0.61
    adem
    -0.61
     mos
    -0.59
     charger
    -0.58
    iltr
    -0.58
    POSITIVE LOGITS
    LY
    0.84
    ledged
    0.71
    enance
    0.67
    âĿ
    0.67
    ably
    0.66
    Ĥª
    0.65
     Maxwell
    0.64
    ippi
    0.64
    atively
    0.63
    redients
    0.63
    Activations Density 0.178%

    No Known Activations