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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. 7-RES-JB
    11. 342
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    INDEX
    Explanations

    mentions of relationships and interpersonal interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to cloning and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ).[
    -0.78
    sequently
    -0.75
     nevertheless
    -0.71
     thereby
    -0.70
     nonetheless
    -0.68
     administr
    -0.66
     consultations
    -0.65
     subsequently
    -0.65
    alyses
    -0.64
     diplom
    -0.64
    POSITIVE LOGITS
     bitch
    0.90
     fuckin
    0.84
     shit
    0.83
    ?!
    0.80
    !!!!
    0.80
    eeee
    0.79
     fucking
    0.78
     daddy
    0.77
    !!!!!
    0.77
    !!!
    0.76
    Activations Density 1.569%

    No Known Activations