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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. 6-RES-JB
    11. 17513
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    Explanations

    mentions of various terms related to different fields and contexts, such as sports, technology, music, and community

    oai_token-act-pair · gpt-3.5-turbo

    specific symbols or formatting cues within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thens
    -0.83
    anamo
    -0.80
    akable
    -0.77
     dispose
    -0.67
    rations
    -0.67
     unaccount
    -0.65
    ichita
    -0.63
     detained
    -0.63
     deportation
    -0.61
    vous
    -0.61
    POSITIVE LOGITS
     renaissance
    0.85
     folklore
    0.83
    lance
    0.82
     MMO
    0.80
     lore
    0.79
     fandom
    0.79
     esports
    0.78
     Era
    0.78
     universe
    0.78
     Championship
    0.78
    Activations Density 0.889%

    No Known Activations