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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. 8-RES-JB
    11. 24281
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    Explanations

    phrases related to locations or people's names

    oai_token-act-pair · gpt-3.5-turbo

    references to horns, particularly in the context of rhinos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NCT
    -0.75
    arnaev
    -0.75
    juries
    -0.69
    ASED
    -0.67
     Chatt
    -0.66
    PsyNetMessage
    -0.65
    FORM
    -0.65
     ABE
    -0.60
     commons
    -0.59
    cing
    -0.58
    POSITIVE LOGITS
    indal
    1.17
    pipe
    1.06
    bill
    0.96
    beck
    0.91
    ed
    0.89
    sey
    0.87
    ophon
    0.87
    ingen
    0.85
    spr
    0.85
    church
    0.85
    Activations Density 0.036%

    No Known Activations