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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. 4-RES-JB
    11. 16794
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    Explanations

    terms related to physical locations, specifically entrances and exits

    oai_token-act-pair · gpt-3.5-turbo

    references to entrances and exits

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

    No Comments

    Negative Logits
    nian
    -0.67
    uku
    -0.65
    amera
    -0.64
    enegger
    -0.63
    grave
    -0.62
    pend
    -0.62
    verbs
    -0.62
    nutrition
    -0.61
    ahon
    -0.61
    ones
    -0.60
    POSITIVE LOGITS
     entrance
    0.99
     entrances
    0.94
    prise
    0.93
     thereto
    0.87
     gates
    0.87
    door
    0.84
    tainment
    0.84
    tained
    0.82
     doors
    0.82
    stones
    0.79
    Activations Density 0.018%

    No Known Activations