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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. 18731
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    Explanations

    phrases related to quantitative descriptions of intensity or level

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases that indicate extreme levels or conditions

    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
     Palest
    -0.70
    steen
    -0.67
    onto
    -0.65
    thood
    -0.64
    Spr
    -0.64
    bright
    -0.64
    Tw
    -0.62
    Jose
    -0.61
    Com
    -0.61
    umen
    -0.61
    POSITIVE LOGITS
     (>
    0.87
     indeed
    0.80
    idious
    0.68
     portrait
    0.67
     sounding
    0.66
     WIN
    0.63
     thing
    0.62
     (~
    0.62
    xual
    0.62
     âĶľ
    0.62
    Activations Density 0.176%

    No Known Activations