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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. 0-RES-JB
    11. 22624
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    Explanations

    words related to religious contexts or environments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "pulp" and its various contexts, along with a focus on specific social themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    [_
    -0.77
    aldo
    -0.75
     Islanders
    -0.70
     Estonia
    -0.69
    ports
    -0.69
    Lind
    -0.68
     Slovenia
    -0.68
    Iterator
    -0.66
     Slovakia
    -0.66
     Ost
    -0.65
    POSITIVE LOGITS
     pul
    4.22
     pulp
    2.33
     sermon
    1.29
     clergy
    1.20
     cha
    1.07
     mast
    1.06
     preacher
    0.98
     hous
    0.98
     Pul
    0.98
     crus
    0.95
    Activations Density 0.038%

    No Known Activations