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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. 10-RES-JB
    11. 22196
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    Explanations

    items or objects mentioned in a list of instructions or materials

    oai_token-act-pair · gpt-3.5-turbo

    parentheses used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     perme
    -0.76
     contempor
    -0.72
     confront
    -0.72
     commerce
    -0.71
     flow
    -0.70
     society
    -0.68
     substantive
    -0.68
     proposition
    -0.68
     outcome
    -0.67
     inund
    -0.67
    POSITIVE LOGITS
    optional
    1.79
    requires
    1.59
    excluding
    1.58
    sorry
    1.55
    same
    1.54
    unless
    1.53
    including
    1.52
    includes
    1.51
    except
    1.50
    please
    1.49
    Activations Density 0.137%

    No Known Activations