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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. 6-RES-JB
    11. 7274
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    Explanations

    instances of the word "after" followed by a specific event or situation

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or moments that occurred in the past

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    QL
    -0.81
    $$$$
    -0.76
    inho
    -0.74
    ãĥĺãĥ©
    -0.72
    ELY
    -0.71
    Between
    -0.69
    HO
    -0.69
    ashtra
    -0.69
    Hub
    -0.68
    LESS
    -0.67
    POSITIVE LOGITS
     initial
    0.80
     completion
    0.77
    noon
    0.74
     exhausting
    0.72
    yright
    0.71
     arrival
    0.68
    umatic
    0.68
     adjourn
    0.67
     curtain
    0.66
     incident
    0.65
    Activations Density 0.182%

    No Known Activations