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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. 1-RES-JB
    11. 8979
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    Explanations

    words related to corporations, possibly with a focus on legal or financial aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to corporate entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seeking
    -0.67
    HAHAHAHA
    -0.66
     request
    -0.63
     VIDE
    -0.63
     Wanted
    -0.63
     Finder
    -0.62
     seeker
    -0.62
     Heard
    -0.61
     aloud
    -0.60
     Rasmussen
    -0.60
    POSITIVE LOGITS
    porate
    1.31
    poral
    1.14
    cor
    1.09
    ridor
    1.08
    rection
    1.05
    rigan
    1.02
    por
    1.00
    orpor
    0.98
    rupted
    0.97
    relation
    0.96
    Activations Density 0.003%

    No Known Activations