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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. 8-RES-JB
    11. 6384
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    Explanations

    the word "crazy" at varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "crazy" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agle
    -0.79
    Reviewed
    -0.79
    ribut
    -0.75
    ãĥĺãĥ©
    -0.74
     Recogn
    -0.71
    HCR
    -0.71
    arers
    -0.70
    arations
    -0.70
    adr
    -0.70
    arest
    -0.70
    POSITIVE LOGITS
     nuts
    0.87
     crazy
    0.78
     antics
    0.75
     shit
    0.75
    arse
    0.71
    spawn
    0.70
    cat
    0.69
    cap
    0.67
     stunts
    0.67
     overboard
    0.66
    Activations Density 0.032%

    No Known Activations