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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. 2-RES-JB
    6. 5168
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    INDEX
    Explanations

    mentions of the name "Clint"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly "Clint" and "Clippers"

    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
    ãĤ®
    -0.79
    tale
    -0.75
    Ò
    -0.74
    agara
    -0.74
    gra
    -0.74
    tumblr
    -0.73
    awaru
    -0.71
    ãĥĦ
    -0.70
    elsen
    -0.70
    ½
    -0.70
    POSITIVE LOGITS
    ojure
    0.86
    avier
    0.82
     Clippers
    0.77
    leans
    0.76
    agues
    0.76
    oqu
    0.74
     scrimmage
    0.73
    ouble
    0.72
    bage
    0.70
     Hayward
    0.69
    Activations Density 0.025%

    No Known Activations