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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. 3-RES-JB
    11. 3925
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    Explanations

    words related to asserting claims or making forceful statements

    oai_token-act-pair · gpt-3.5-turbo

    words related to making claims or statements of certainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bake
    -0.75
     Carbuncle
    -0.72
     Watching
    -0.66
    vous
    -0.64
    nton
    -0.62
     Shop
    -0.62
    ppo
    -0.62
     Hort
    -0.61
    osponsors
    -0.60
    ben
    -0.59
    POSITIVE LOGITS
    iveness
    0.93
    ively
    0.91
    ieth
    0.89
    urances
    0.87
     asserts
    0.84
    antly
    0.83
    olated
    0.82
    uably
    0.81
     asserting
    0.80
     asserted
    0.80
    Activations Density 0.012%

    No Known Activations