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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6182
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    Explanations

    phrases related to American football positions, particularly "defensive end" and "tight end"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to defensive roles and positions in sports

    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
    ombat
    -0.96
    sth
    -0.72
     Agenda
    -0.66
    izoph
    -0.64
    heit
    -0.62
     destruct
    -0.62
    wcsstore
    -0.62
    ocobo
    -0.61
    urat
    -0.60
     favour
    -0.59
    POSITIVE LOGITS
     coach
    0.81
     extraord
    0.79
     Reggie
    0.78
     tandem
    0.77
    /.
    0.76
     Stacy
    0.76
     Semin
    0.75
     Brandon
    0.74
     phen
    0.74
     Mike
    0.73
    Activations Density 0.102%

    No Known Activations