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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. 1-RES-JB
    11. 14290
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    INDEX
    Explanations

    names of specific physical rooms or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific rooms in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.75
    olk
    -0.72
    yright
    -0.66
     drawn
    -0.65
     dubious
    -0.65
    ublished
    -0.64
    involved
    -0.63
    outed
    -0.62
    drawn
    -0.61
    riend
    -0.61
    POSITIVE LOGITS
     Room
    1.52
     Rooms
    1.18
    Room
    1.11
     Door
    0.92
     Floor
    0.90
     Cell
    0.81
     Soup
    0.80
     Syndrome
    0.79
     Theatre
    0.79
     Disorders
    0.78
    Activations Density 0.009%

    No Known Activations