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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. 8-RES-JB
    11. 8315
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    Explanations

    adjectives ending in '-ing' or '-ly'

    oai_token-act-pair · gpt-3.5-turbo

    repeated letters in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tactics
    -0.71
     Leopard
    -0.68
     Cot
    -0.68
     Watkins
    -0.64
     Piper
    -0.63
     Polk
    -0.61
     Brach
    -0.61
     Library
    -0.61
     Fischer
    -0.60
     Kau
    -0.59
    POSITIVE LOGITS
    vernment
    1.09
    ancial
    0.90
    É
    0.87
    theless
    0.87
    itely
    0.86
    iversity
    0.85
    itness
    0.85
    Í
    0.84
    otic
    0.83
    onymous
    0.82
    Activations Density 0.169%

    No Known Activations