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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 1207
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    INDEX
    Explanations

    mentions of a small quantity or number of things

    oai_token-act-pair · gpt-3.5-turbo

    the word "handful" and its variations, indicating a focus on small quantities or limited groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iola
    -0.63
    poses
    -0.62
    verbs
    -0.61
    pose
    -0.60
    fet
    -0.59
    ogens
    -0.59
     tempo
    -0.58
    agate
    -0.58
    sein
    -0.57
     silence
    -0.56
    POSITIVE LOGITS
    eenth
    0.98
     of
    0.90
     thereof
    0.86
    een
    0.83
     dozen
    0.81
    uously
    0.75
     ILCS
    0.71
    dozen
    0.70
    onew
    0.66
    ingly
    0.66
    Activations Density 0.018%

    No Known Activations