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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. 11-RES-JB
    11. 14776
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    Explanations

    adjectives related to describing qualities in a somewhat subjective manner, such as impact, character, or spoiler

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptions relating to masculinity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     waivers
    -0.84
     doubles
    -0.67
    IONS
    -0.67
     Isles
    -0.66
     ado
    -0.66
     Bans
    -0.65
    Ws
    -0.65
     suspensions
    -0.64
     Devils
    -0.64
     flats
    -0.63
    POSITIVE LOGITS
    ictive
    1.31
    icative
    1.22
    isive
    1.22
    entious
    1.21
    erous
    1.21
    istent
    1.20
    isable
    1.19
    ious
    1.19
    ceptive
    1.19
    urable
    1.18
    Activations Density 0.422%

    No Known Activations