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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. 11023
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    Explanations

    phrases related to width, expansion, and inclusivity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to breadth, reach, and expansion

    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
    deen
    -0.72
     Pyrrha
    -0.69
    phies
    -0.67
     Queen
    -0.66
    roth
    -0.63
     Cust
    -0.62
     Princess
    -0.62
     Picard
    -0.61
     Buckingham
    -0.61
     Cecil
    -0.60
    POSITIVE LOGITS
     geographically
    0.84
     breadth
    0.81
    annel
    0.77
     encomp
    0.77
    radius
    0.76
    available
    0.76
     sophistication
    0.76
     demographics
    0.76
    velength
    0.75
    anguage
    0.74
    Activations Density 0.297%

    No Known Activations