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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. 3144
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    INDEX
    Explanations

    sequences indicating the passage of time

    oai_token-act-pair · gpt-3.5-turbo

    references to time intervals or durations

    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
    owe
    -0.73
    eworld
    -0.73
    orthy
    -0.72
    antle
    -0.70
    rones
    -0.68
    urden
    -0.66
    ables
    -0.65
    ede
    -0.65
    isible
    -0.65
    acea
    -0.65
    POSITIVE LOGITS
     deliber
    1.36
     tweaking
    1.28
     tink
    1.26
     experimentation
    1.23
     painstaking
    1.18
     refinement
    1.18
     brainstorm
    1.16
     persuasion
    1.16
     careful
    1.14
     consultation
    1.13
    Activations Density 0.304%

    No Known Activations