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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. 11-RES-JB
    11. 112
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    INDEX
    Explanations

    verbal descriptors with an emotional or critical tone

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptive phrases that convey strong emotions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lished
    -0.90
    BILITY
    -0.89
    yip
    -0.85
    ittee
    -0.85
    ilege
    -0.85
    ressor
    -0.83
    hander
    -0.81
    brance
    -0.79
    fecture
    -0.76
    puter
    -0.75
    POSITIVE LOGITS
     amounts
    1.26
     statements
    1.26
     proportions
    1.25
     remarks
    1.24
     explanations
    1.20
     scenarios
    1.18
     descriptions
    1.15
     tones
    1.14
     arguments
    1.14
     conclusions
    1.13
    Activations Density 0.211%

    No Known Activations