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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. 14456
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    Explanations

    various forms and references to cubes

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of cubes and cones, particularly in a scientific or technical context

    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
     appropri
    -0.67
    ufact
    -0.65
    rawdownloadcloneembedreportprint
    -0.64
    ament
    -0.63
     Trojan
    -0.63
    umption
    -0.63
    inen
    -0.63
    uation
    -0.62
    utenant
    -0.62
     ethic
    -0.61
    POSITIVE LOGITS
    cube
    0.93
     bearings
    0.81
     cube
    0.81
    Cube
    0.76
    bish
    0.74
     Cube
    0.74
    entric
    0.71
    bies
    0.70
    hog
    0.70
    oby
    0.69
    Activations Density 0.004%

    No Known Activations