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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. 4-RES-JB
    11. 7834
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    Explanations

    expressions of opinion or commentary

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinion or belief

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

    No Comments

    Negative Logits
    assembly
    -0.67
    ãĥīãĥ©
    -0.65
    asion
    -0.64
     allegedly
    -0.60
     parcels
    -0.58
    ãĤ¯
    -0.58
    iege
    -0.58
    Domain
    -0.57
    arthed
    -0.57
    odder
    -0.57
    POSITIVE LOGITS
     exagger
    0.68
    stanbul
    0.67
     faire
    0.66
    soType
    0.65
     misunder
    0.64
    etsk
    0.62
     pessimistic
    0.62
     illust
    0.62
    nostic
    0.61
     vind
    0.60
    Activations Density 0.263%

    No Known Activations