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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. 8618
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    INDEX
    Explanations

    adjectives or phrases indicating intensity or scale

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that convey strong qualities or conditions

    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
    obook
    -0.87
    rower
    -0.82
    ynthesis
    -0.75
    ©¶æ
    -0.74
    plementation
    -0.72
    ridor
    -0.72
    alion
    -0.71
     Barrett
    -0.69
    andom
    -0.68
    achu
    -0.68
    POSITIVE LOGITS
     ones
    1.31
     additions
    1.26
     reminders
    1.20
     creations
    1.18
     equivalents
    1.18
     replacements
    1.17
     entities
    1.14
     representations
    1.14
     embodiments
    1.13
     extensions
    1.11
    Activations Density 0.463%

    No Known Activations