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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. 6-RES-JB
    11. 15434
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    Explanations

    terminology related to concepts and theories

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to roles, challenges, threats, and the impact of various situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    poon
    -0.59
    Interested
    -0.55
    ilver
    -0.53
    estern
    -0.50
    adow
    -0.50
    mson
    -0.49
    fter
    -0.49
    iolet
    -0.48
    vae
    -0.48
    batch
    -0.47
    POSITIVE LOGITS
    liest
    0.89
    iest
    0.88
     itself
    0.79
    ultimate
    0.75
     of
    0.73
     thereof
    0.66
     operator
    0.65
     portion
    0.60
    atical
    0.58
     equivalent
    0.57
    Activations Density 0.537%

    No Known Activations