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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. 2-RES-JB
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    Explanations

    words ending in 'iously'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs ending in "-iously" and "-ively"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Times
    -0.66
     Keys
    -0.63
    ocene
    -0.62
     plate
    -0.62
     Franks
    -0.61
     plates
    -0.59
     Settlement
    -0.59
     Riders
    -0.59
     Toll
    -0.58
     Plate
    -0.58
    POSITIVE LOGITS
     trained
    0.74
    zona
    0.73
     regenerate
    0.72
     tuned
    0.72
    uously
    0.71
    efully
    0.69
    mph
    0.69
     entertained
    0.67
    ctuary
    0.67
     competed
    0.67
    Activations Density 0.034%

    No Known Activations