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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. 9-RES-JB
    11. 10828
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    Explanations

    names of people who have been involved in legal or criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    the past tense verb "was" indicating actions or states concerning individuals

    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
    lag
    -0.77
     Extend
    -0.76
    inav
    -0.74
    ologies
    -0.69
    Footnote
    -0.68
    eways
    -0.68
    izable
    -0.67
    oyle
    -0.67
    lies
    -0.66
     Solution
    -0.64
    POSITIVE LOGITS
     born
    1.25
     originally
    1.19
     arrested
    1.15
     sentenced
    1.11
     diagnosed
    1.10
     able
    1.08
     arra
    1.08
     initially
    1.06
     unable
    1.05
     acquitted
    1.04
    Activations Density 0.233%

    No Known Activations