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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
    11. 2938
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    INDEX
    Explanations

    mixtures of informal language and statements of intention or belief

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and expressions of personal opinion

    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
    rawdownloadcloneembedreportprint
    -0.63
     Patron
    -0.63
     Takeru
    -0.62
     Siberian
    -0.60
     Yuan
    -0.59
    VERTISEMENT
    -0.58
     Releases
    -0.58
     Inher
    -0.56
     Cells
    -0.56
     ITS
    -0.56
    POSITIVE LOGITS
     personally
    0.86
     think
    0.80
     myself
    0.77
     believe
    0.76
    lene
    0.76
    rene
    0.76
    wind
    0.76
    pan
    0.75
     congratulate
    0.74
    absolutely
    0.74
    Activations Density 0.340%

    No Known Activations