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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 720
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    INDEX
    Explanations

    capitalized words starting with 'for'

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "For" along with its various forms and related variations

    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
    mare
    -0.58
    å£
    -0.56
    aminer
    -0.55
    inese
    -0.55
    801
    -0.55
    orically
    -0.54
     Parsons
    -0.53
     jaws
    -0.53
     BELOW
    -0.52
     regards
    -0.51
    POSITIVE LOGITS
    bidden
    1.50
    gotten
    1.45
    gery
    1.20
    ked
    1.15
    geries
    1.14
    cible
    1.08
    gettable
    1.06
    got
    1.04
     example
    1.04
     instance
    1.02
    Activations Density 0.064%

    No Known Activations