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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. 7-RES-JB
    11. 20918
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    Explanations

    particular words indicating emphasis or strong assertion

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tails
    -0.77
    AMS
    -0.70
    HT
    -0.68
    oS
    -0.67
    hm
    -0.67
    hens
    -0.67
    hen
    -0.66
    umat
    -0.66
    guard
    -0.66
    orah
    -0.64
    POSITIVE LOGITS
     they
    0.84
     justifies
    0.76
     unless
    0.73
     anybody
    0.71
     anyone
    0.69
     witches
    0.69
     contradicts
    0.68
     '[
    0.68
     there
    0.68
    milo
    0.67
    Activations Density 0.224%

    No Known Activations