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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. 6725
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    Explanations

    terms related to industries, machines, and physical objects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various industries and their associated elements

    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
    cale
    -0.82
    outhern
    -0.78
    acebook
    -0.77
    imentary
    -0.74
    icum
    -0.72
    ounding
    -0.71
    omething
    -0.71
    risome
    -0.69
    ensical
    -0.69
    ervative
    -0.69
    POSITIVE LOGITS
    ages
    0.73
     CPR
    0.70
     syndrome
    0.66
    eers
    0.65
    busters
    0.65
     holders
    0.65
    plates
    0.65
    eering
    0.63
     tropes
    0.63
    loads
    0.62
    Activations Density 0.931%

    No Known Activations