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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. 7746
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    Explanations

    phrases related to providing nourishment or support, especially to family members

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to feedback and familial responsibilities

    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
    Ô
    -0.81
    ËĪ
    -0.77
    Scope
    -0.77
    Ħ¢
    -0.73
    ĪĴ
    -0.72
    mberg
    -0.71
    schild
    -0.69
    FACE
    -0.69
     disapp
    -0.68
    è£
    -0.68
    POSITIVE LOGITS
     thirsty
    0.89
     hungry
    0.89
     Frenzy
    0.85
     feeds
    0.82
     grain
    0.78
     diets
    0.77
     crops
    0.77
     diet
    0.74
     cattle
    0.72
     meals
    0.71
    Activations Density 0.135%

    No Known Activations