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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. 4-RES-JB
    11. 4507
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    Explanations

    phrases related to job titles or roles with a focus on positions within organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negative assessments or critiques

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

    No Comments

    Negative Logits
     Dickinson
    -0.83
     Burr
    -0.69
     Richards
    -0.68
     Confederation
    -0.67
     Cotton
    -0.66
     Codec
    -0.64
     Indigo
    -0.64
     Norris
    -0.64
     Jackets
    -0.64
     Dos
    -0.64
    POSITIVE LOGITS
    based
    1.31
    related
    1.23
    themed
    1.19
    driven
    1.17
    style
    1.16
    sized
    1.16
    derived
    1.16
    type
    1.15
    inspired
    1.13
    focused
    1.12
    Activations Density 0.322%

    No Known Activations