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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7066
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    Explanations

    proper nouns containing the sequence "agon"

    oai_token-act-pair · gpt-3.5-turbo

    words related to "agon" or competitive scenarios, particularly in sports and contests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.71
    ples
    -0.69
    bered
    -0.65
     Lori
    -0.64
    ensional
    -0.61
    natureconservancy
    -0.59
    uctor
    -0.57
     borrower
    -0.57
    cedented
    -0.56
     stressful
    -0.55
    POSITIVE LOGITS
    naire
    1.35
    naires
    0.97
    xon
    0.93
    ocity
    0.86
    nel
    0.84
    otine
    0.82
    ous
    0.81
    arium
    0.81
    auts
    0.80
    ansas
    0.79
    Activations Density 0.014%

    No Known Activations