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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. 4793
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    Explanations

    second-person pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    statements that involve personal reflections or experiences

    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
    votes
    -0.70
    icum
    -0.70
    pedia
    -0.68
    wrapper
    -0.67
    ENDED
    -0.66
    Joined
    -0.66
    icons
    -0.62
    temp
    -0.62
    stadt
    -0.60
    REDACTED
    -0.60
    POSITIVE LOGITS
    're
    1.38
     gotta
    1.27
     guys
    1.21
    've
    1.14
     realise
    1.01
    'll
    1.00
     know
    0.99
     cannot
    0.97
     realize
    0.96
     wanna
    0.95
    Activations Density 0.163%

    No Known Activations