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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. 12-RES-JB
    11. 4535
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    Explanations

    words related to wrapping one's head around complex or challenging concepts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to mental processes and physical actions involving hands or arms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anos
    -0.81
    heid
    -0.70
    itsch
    -0.68
    raltar
    -0.68
    Failure
    -0.64
    é¾įå
    -0.63
    oulos
    -0.62
    Progress
    -0.62
    ucc
    -0.62
    utonium
    -0.60
    POSITIVE LOGITS
     around
    2.50
    around
    1.91
     Around
    1.81
     round
    1.71
    Around
    1.45
    round
    1.34
    rounder
    1.29
     surrounding
    1.14
     surrounds
    1.08
     surround
    1.05
    Activations Density 0.409%

    No Known Activations