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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. 7-RES-JB
    11. 14034
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    Explanations

    reasons or explanations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that enumerate various reasons or explanations

    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
    bilt
    -0.73
    ream
    -0.70
    yss
    -0.69
    MT
    -0.67
    DAQ
    -0.67
    externalActionCode
    -0.66
    ãĥĪ
    -0.65
    Tok
    -0.65
    ICS
    -0.64
    orld
    -0.64
    POSITIVE LOGITS
     why
    1.18
    pointers
    0.91
    why
    0.91
     WHY
    0.88
     reasons
    0.88
     justifying
    0.82
    abl
    0.80
     explanations
    0.78
     justify
    0.76
     cele
    0.74
    Activations Density 0.030%

    No Known Activations