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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
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    Explanations

    references to the name "Tamir"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Tam" in various 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
    ģĸ
    -0.78
     mileage
    -0.77
    ĺħ
    -0.76
    «ĺ
    -0.73
     tremend
    -0.72
    eering
    -0.69
    wagen
    -0.67
    ĻĤ
    -0.66
     therap
    -0.64
     uranium
    -0.63
    POSITIVE LOGITS
    pering
    1.28
    pered
    1.22
    Tam
    1.05
    borgh
    1.00
    pling
    0.98
    iami
    0.98
    my
    0.96
    eless
    0.92
    riel
    0.92
    arin
    0.90
    Activations Density 0.018%

    No Known Activations