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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. 8-RES-JB
    11. 14570
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    Explanations

    phrases related to large quantities or stacks

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acus
    -0.80
    initions
    -0.70
    pring
    -0.70
    peer
    -0.69
    fter
    -0.67
    rer
    -0.67
    riber
    -0.66
    oking
    -0.66
    eur
    -0.65
    uca
    -0.64
    POSITIVE LOGITS
     goodies
    1.02
     sorts
    1.00
     assorted
    0.91
     acron
    0.84
     colorful
    0.84
     crap
    0.76
     excuses
    0.76
     clich
    0.76
     adject
    0.75
     rubble
    0.75
    Activations Density 0.125%

    No Known Activations