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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. 818
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    Explanations

    words related to human actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to human impact on the environment

    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
     Dickinson
    -0.70
     sunset
    -0.68
     sd
    -0.63
     Thick
    -0.61
     susp
    -0.61
     fray
    -0.61
     Mock
    -0.60
     outgoing
    -0.60
     Borders
    -0.59
     Grimes
    -0.59
    POSITIVE LOGITS
    centric
    1.25
    centered
    1.20
    killers
    1.14
    friendly
    1.11
    loving
    1.10
    sized
    1.09
    specific
    1.08
    eating
    1.08
    themed
    1.07
    inspired
    1.05
    Activations Density 0.121%

    No Known Activations