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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. 4-RES-JB
    11. 6646
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    INDEX
    Explanations

    verbs or adjectives related to softness or tenderness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tender" and related contexts

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

    No Comments

    Negative Logits
    anwhile
    -0.76
    heres
    -0.74
    arios
    -0.72
    akening
    -0.69
    utenberg
    -0.68
     Hust
    -0.67
    EEK
    -0.67
    76561
    -0.67
    iggs
    -0.64
     Kessler
    -0.63
    POSITIVE LOGITS
     tender
    1.02
    lo
    0.95
    heart
    0.83
    ness
    0.80
    ament
    0.79
     Rib
    0.78
    mint
    0.76
    ments
    0.76
    inently
    0.73
    aments
    0.72
    Activations Density 0.013%

    No Known Activations