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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. 21753
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    Explanations

    phrases or words related to failure or disappointments

    oai_token-act-pair · gpt-3.5-turbo

    words related to failure or poor performance

    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
    aido
    -0.69
    arov
    -0.64
    ����
    -0.63
     ��������
    -0.63
    protect
    -0.61
     Beir
    -0.61
    Tex
    -0.60
    judicial
    -0.60
    rt
    -0.60
    ciation
    -0.59
    POSITIVE LOGITS
    ails
    1.38
    ailed
    1.08
    ail
    0.97
    ailing
    0.90
    ILS
    0.87
    bats
    0.77
    ailable
    0.70
    ominated
    0.66
    tails
    0.65
     conduc
    0.64
    Activations Density 0.009%

    No Known Activations