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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. 8-RES-JB
    11. 10391
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    INDEX
    Explanations

    locations mentioned with dates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of temporal or locational information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.75
    arat
    -0.69
    _.
    -0.68
    itionally
    -0.67
    ãĤ´ãĥ³
    -0.66
    role
    -0.66
    zeb
    -0.66
    ensor
    -0.65
    atos
    -0.63
    license
    -0.63
    POSITIVE LOGITS
     meanwhile
    0.94
     pandemonium
    0.81
     where
    0.74
     however
    0.69
     attendees
    0.69
     Michele
    0.66
     Duffy
    0.65
     Carlo
    0.64
    orescence
    0.63
     Sergio
    0.62
    Activations Density 0.240%

    No Known Activations