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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. 2-RES-JB
    11. 3962
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    Explanations

    references to a specific sports team, the Jets

    oai_token-act-pair · gpt-3.5-turbo

    references to the Jets football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\\\\\\\\\
    -0.68
    lled
    -0.67
    istically
    -0.66
    semble
    -0.65
    FUL
    -0.65
    Else
    -0.64
    acerb
    -0.64
    é¾į
    -0.63
    istic
    -0.63
    clusive
    -0.62
    POSITIVE LOGITS
     Jets
    1.18
    haw
    0.78
     Bills
    0.74
     Sabres
    0.71
    onian
    0.71
    pps
    0.71
     Buccaneers
    0.71
    ons
    0.70
    eco
    0.70
    onic
    0.70
    Activations Density 0.010%

    No Known Activations