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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. 8467
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    Explanations

    phrases or names related to a specific person or character, potentially with a common element in their names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "aro" and its variations, likely focusing on a character or theme associated with that term in various contexts

    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
    gling
    -0.93
    reddits
    -0.82
    ifiers
    -0.77
    etsk
    -0.76
    icist
    -0.76
    matic
    -0.75
    ividual
    -0.75
    icians
    -0.75
    ifier
    -0.71
    isphere
    -0.70
    POSITIVE LOGITS
    olla
    0.87
    zzi
    0.87
    etta
    0.81
    9999
    0.80
    ques
    0.76
    zona
    0.75
    ÄŁ
    0.74
    ë
    0.74
    ffee
    0.72
     Vaj
    0.70
    Activations Density 0.023%

    No Known Activations