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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. 16710
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    Explanations

    instances of people seeing or spotting something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of 'seeing' or 'observing' actions

    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
    buster
    -0.78
    vote
    -0.77
    ongyang
    -0.72
    sis
    -0.72
    informed
    -0.72
    EStreamFrame
    -0.71
    vic
    -0.71
     derog
    -0.69
    ovie
    -0.69
    mind
    -0.69
    POSITIVE LOGITS
     someone
    0.91
     something
    0.90
     faint
    0.82
     nothing
    0.81
     somebody
    0.81
     footprints
    0.81
     silhou
    0.80
     rows
    0.77
     flashes
    0.73
    ATHER
    0.72
    Activations Density 0.164%

    No Known Activations