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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. 7-RES-JB
    11. 9527
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    Explanations

    proper names, likely related to sports or entertainment

    oai_token-act-pair · gpt-3.5-turbo

    words ending in 'ite', 'ape', and 'ade'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     simultane
    -0.67
    selves
    -0.67
    ancial
    -0.66
    etheless
    -0.66
    enance
    -0.64
     narrator
    -0.64
    inatory
    -0.63
    race
    -0.62
    ictional
    -0.61
     yarn
    -0.60
    POSITIVE LOGITS
    lla
    1.28
    lda
    1.26
    llo
    1.26
    ño
    1.25
    lli
    1.25
    gger
    1.23
    cki
    1.13
    xt
    1.11
    ll
    1.11
    cker
    1.11
    Activations Density 0.212%

    No Known Activations