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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. 9331
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    INDEX
    Explanations

    specific numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numeric identifiers or significant years

    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
    aith
    -0.81
    aeus
    -0.80
    aye
    -0.79
    reek
    -0.76
    akes
    -0.75
    itta
    -0.70
    rd
    -0.70
    ritten
    -0.69
    ayn
    -0.68
    eday
    -0.67
    POSITIVE LOGITS
    20439
    1.01
    0100
    0.92
    6666
    0.85
    384
    0.81
    tenance
    0.78
    66666666
    0.76
    016
    0.76
    554
    0.75
    MHz
    0.75
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.73
    Activations Density 0.058%

    No Known Activations