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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. 6-RES-JB
    11. 22648
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    Explanations

    adjectives ending in '-able' or '-ible'

    oai_token-act-pair · gpt-3.5-turbo

    words related to measurements and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    e
    -0.78
    eer
    -0.74
    ez
    -0.72
    ships
    -0.71
    Leaks
    -0.70
    ãģ¦
    -0.69
     Timberwolves
    -0.66
    HAHA
    -0.65
    croft
    -0.65
    ;;;;;;;;;;;;
    -0.64
    POSITIVE LOGITS
    ifying
    1.11
    acer
    1.06
    etr
    1.05
    aining
    1.02
    ained
    1.00
    aband
    0.99
    asso
    0.98
    ified
    0.96
    acity
    0.93
    ading
    0.93
    Activations Density 0.041%

    No Known Activations