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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. 3-RES-JB
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    Explanations

    mentions of the word "bag" at different intensities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of bags and their variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    birth
    -0.77
    yss
    -0.70
     Cornwall
    -0.63
    yll
    -0.63
    ;;
    -0.62
    cale
    -0.59
     Victory
    -0.58
    eeper
    -0.58
     Edmund
    -0.58
     Virgin
    -0.58
    POSITIVE LOGITS
    bag
    1.44
    bags
    1.44
    gery
    1.14
    gers
    1.00
    ged
    0.85
    ota
    0.84
    illus
    0.84
    uably
    0.82
    glers
    0.79
    bish
    0.78
    Activations Density 0.011%

    No Known Activations