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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. 11-RES-JB
    11. 4841
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    INDEX
    Explanations

    monetary values and financial figures

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to measurements or statistical data presented in financial contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isphere
    -0.80
    hester
    -0.70
    heastern
    -0.68
    sburg
    -0.66
    attach
    -0.66
    Primary
    -0.66
    ality
    -0.62
    Feed
    -0.60
    athy
    -0.59
    GROUP
    -0.58
    POSITIVE LOGITS
     least
    1.44
    abase
    0.91
     parity
    0.88
     approximately
    0.85
     around
    0.85
     roughly
    0.84
     minus
    0.82
     levels
    0.81
     133
    0.80
     $
    0.80
    Activations Density 0.084%

    No Known Activations