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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
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    Explanations

    terms related to mathematical calculations and scientific measurements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical analysis and measurements in research contexts

    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
    amera
    -0.71
     Indonesian
    -0.63
    quartered
    -0.61
    cffffcc
    -0.60
     Colombian
    -0.59
     Indones
    -0.59
     lull
    -0.58
    atform
    -0.58
     Guatem
    -0.58
    ©¶æ¥µ
    -0.58
    POSITIVE LOGITS
     (%
    0.73
     coefficients
    0.72
    /(
    0.72
    worthiness
    0.71
    âĢIJ
    0.67
     ().
    0.66
     versus
    0.66
    ().
    0.64
     outputs
    0.64
     âī¤
    0.63
    Activations Density 0.946%

    No Known Activations