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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. 7-RES-JB
    11. 4062
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    Explanations

    references to individuals scoring goals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "scored" and related verbs indicating goals or points achieved in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.75
     Breed
    -0.70
    fell
    -0.65
     pedd
    -0.63
    tan
    -0.62
    OVA
    -0.60
    abus
    -0.59
    APD
    -0.59
    clus
    -0.59
    ship
    -0.59
    POSITIVE LOGITS
    rs
    0.87
    ific
    0.86
    keeper
    0.86
    cards
    0.86
    card
    0.84
    emi
    0.83
     scoring
    0.80
    ificial
    0.80
     scored
    0.78
    keepers
    0.78
    Activations Density 0.029%

    No Known Activations