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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. 9-RES-JB
    11. 14727
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    Explanations

    phrases related to caution and concern

    oai_token-act-pair · gpt-3.5-turbo

    phrases or concepts related to entrapment or vulnerability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tsky
    -0.79
    miah
    -0.69
    gres
    -0.68
    inas
    -0.68
    tsy
    -0.67
    thood
    -0.67
    iami
    -0.65
    aru
    -0.64
    kins
    -0.64
    eva
    -0.63
    POSITIVE LOGITS
     albeit
    1.26
     akin
    1.24
    albeit
    1.11
     devoid
    0.97
     requiring
    0.93
     reminiscent
    0.91
     worthy
    0.90
     whereby
    0.88
     consisting
    0.87
     wherein
    0.86
    Activations Density 0.371%

    No Known Activations