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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. 23771
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    Explanations

    phrases related to colors and color combinations, specifically combinations including black and red in some contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to racial and color contrasts

    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
    BIL
    -1.02
    bilt
    -0.80
    «ĺ
    -0.78
    hement
    -0.77
    VERTISEMENT
    -0.75
    ronic
    -0.73
    ICLE
    -0.71
    nces
    -0.69
    taboola
    -0.69
    Dialogue
    -0.69
    POSITIVE LOGITS
    azeera
    0.80
    oyle
    0.65
     revol
    0.65
     Decker
    0.61
     ambush
    0.60
     gel
    0.60
     stripes
    0.59
     Zin
    0.59
     orcs
    0.59
     stun
    0.58
    Activations Density 0.150%

    No Known Activations