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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. 9-RES-JB
    11. 3608
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    INDEX
    Explanations

    phrases related to actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    structures and phrases in sentences, particularly those that emphasize conditional or cause-and-effect relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.85
    rique
    -0.73
    ema
    -0.64
    atorium
    -0.63
    rance
    -0.63
    ggle
    -0.60
    aft
    -0.59
    uum
    -0.59
    robe
    -0.59
    venth
    -0.59
    POSITIVE LOGITS
     namely
    1.38
     viz
    0.95
     albeit
    0.90
     regardless
    0.88
    whether
    0.81
     whereas
    0.80
     PLUS
    0.79
     besides
    0.79
     except
    0.78
     including
    0.77
    Activations Density 0.311%

    No Known Activations