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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
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    Explanations

    combinations of words ending in 'te'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "te"

    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
     eleph
    -0.80
    etheless
    -0.68
     continents
    -0.67
     otherwise
    -0.65
    ipolar
    -0.64
     fronts
    -0.64
    antha
    -0.63
     footing
    -0.63
     realities
    -0.63
     demographics
    -0.62
    POSITIVE LOGITS
    brate
    1.41
    brates
    1.27
    ller
    1.16
    achers
    1.15
    levision
    1.13
    llers
    1.09
    acher
    1.04
    ppo
    1.02
    achable
    1.02
    aching
    0.99
    Activations Density 0.016%

    No Known Activations