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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. 2-RES-JB
    11. 22009
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    Explanations

    references to the word "Pand"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Pand" or related terms, likely indicating a focus on companies, products, or topics associated with the name 'Panda'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FUL
    -0.77
    FORMATION
    -0.72
    LECT
    -0.71
    RAFT
    -0.69
     VICE
    -0.67
     Eisen
    -0.66
    âĸ¬
    -0.66
     ACTIONS
    -0.65
    fully
    -0.65
    grading
    -0.65
    POSITIVE LOGITS
    emonium
    1.36
     Pand
    1.17
    emic
    1.10
    Pand
    1.05
     pand
    0.98
    anus
    0.90
     Pengu
    0.87
    vati
    0.87
    aren
    0.82
    agar
    0.82
    Activations Density 0.012%

    No Known Activations