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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
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    Explanations

    mentions of the word "Joy" with varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Joy" and its variations

    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
    arians
    -0.73
    anguage
    -0.71
     thirds
    -0.62
    omething
    -0.62
     blockers
    -0.61
     Opera
    -0.61
     constitu
    -0.60
     carcin
    -0.60
     Adamant
    -0.60
    ATED
    -0.59
    POSITIVE LOGITS
    sticks
    1.18
     Joy
    1.12
    stick
    1.10
    joy
    0.97
    cean
    0.95
    lyn
    0.91
    Joy
    0.85
    oint
    0.84
    ride
    0.84
    lett
    0.81
    Activations Density 0.011%

    No Known Activations