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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2218
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    Explanations

    mentions of different Chambers of Commerce and related activities within them

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     infall
    -0.77
     memos
    -0.73
     initialized
    -0.69
    Instance
    -0.67
     overrun
    -0.66
    enos
    -0.66
     timelines
    -0.66
     Timeline
    -0.64
     Zucker
    -0.63
     envelop
    -0.63
    POSITIVE LOGITS
     fishing
    1.24
     Fishing
    1.18
     farming
    1.18
     gambling
    1.15
     skiing
    1.14
     sport
    1.13
     athletics
    1.13
     agriculture
    1.12
     commerce
    1.12
     trades
    1.11
    Activations Density 1.183%

    No Known Activations