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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. 9-RES-JB
    11. 16177
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    Explanations

    phrases related to economic trends and predictions

    oai_token-act-pair · gpt-3.5-turbo

    trends and expectations related to economic indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    sonian
    -0.81
     Ago
    -0.74
     dishes
    -0.67
     Tray
    -0.67
    asking
    -0.66
    abies
    -0.64
     omission
    -0.64
    fax
    -0.63
    assis
    -0.63
     Salv
    -0.63
    POSITIVE LOGITS
     plummet
    1.33
     fluct
    1.23
     skyrocket
    1.21
     declining
    1.19
     stagn
    1.14
     steadily
    1.09
     soar
    1.08
     soaring
    1.07
     peaked
    1.04
     decline
    1.04
    Activations Density 0.337%

    No Known Activations