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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18410
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    INDEX
    Explanations

    prepositions indicating location or direction

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating location or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interrupted
    -0.85
    ymes
    -0.66
    apse
    -0.65
     unemploy
    -0.64
     ens
    -0.64
     sacked
    -0.63
     impossibility
    -0.62
     brim
    -0.62
    aked
    -0.62
    URA
    -0.61
    POSITIVE LOGITS
    roads
    0.92
     regards
    0.92
    versions
    0.81
     regard
    0.80
    clusions
    0.76
    utm
    0.76
    eff
    0.75
    efficiency
    0.71
     tandem
    0.71
    humane
    0.69
    Activations Density 0.248%

    No Known Activations