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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9188
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    Explanations

    adjectives ending in '-ful' or '-ing'

    oai_token-act-pair · gpt-3.5-turbo

    words that signify various forms of suffixes typically indicating attributes or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Liberties
    -0.68
     Dragonbound
    -0.64
     DATA
    -0.63
     Ashes
    -0.59
     whine
    -0.57
     equivalents
    -0.57
     surrogate
    -0.56
     Standards
    -0.56
     ceased
    -0.55
    enhagen
    -0.55
    POSITIVE LOGITS
    rill
    0.96
    opter
    0.92
    gment
    0.91
    eks
    0.87
    olon
    0.85
    phal
    0.84
    omi
    0.84
    ules
    0.83
    ¬
    0.82
    »
    0.82
    Activations Density 0.299%

    No Known Activations