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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. 16712
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    Explanations

    phrases starting with "with" and describing a subsequent action or scenario

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "with" in various contexts

    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
    sylvania
    -0.68
    sat
    -0.64
    shire
    -0.64
    ãģ®éŃĶ
    -0.63
    achusetts
    -0.62
    ais
    -0.62
    ights
    -0.60
     penned
    -0.60
    ischer
    -0.60
     reckoned
    -0.60
    POSITIVE LOGITS
     regards
    1.46
    draw
    1.43
     regard
    1.42
    stood
    1.39
    standing
    1.27
    drawn
    1.26
     respect
    1.18
    holding
    1.11
     impunity
    1.09
     hindsight
    1.06
    Activations Density 0.147%

    No Known Activations