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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. 3-RES-JB
    11. 8395
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    INDEX
    Explanations

    mentions of specific ages, heights, and durations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to age and physical dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aida
    -0.75
    ollah
    -0.75
    yssey
    -0.71
    ĸļ
    -0.69
     Balk
    -0.66
     Creator
    -0.65
    anski
    -0.63
    igious
    -0.61
     Preferences
    -0.61
     lull
    -0.61
    POSITIVE LOGITS
     MPH
    0.78
    435
    0.73
    pound
    0.72
    é¾
    0.71
    Ct
    0.69
    660
    0.68
    655
    0.68
    ottest
    0.67
     pounds
    0.67
    430
    0.67
    Activations Density 0.459%

    No Known Activations