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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. 5462
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    Explanations

    financial figures and amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    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
    ornings
    -0.81
     srfAttach
    -0.67
    olph
    -0.66
    antly
    -0.64
    orously
    -0.61
    OLOG
    -0.60
    uther
    -0.59
    licensed
    -0.59
    ives
    -0.58
    ocrates
    -0.58
    POSITIVE LOGITS
     mark
    1.31
     limit
    1.09
     figure
    0.99
     threshold
    0.99
     allotted
    0.99
     requirement
    0.97
     gorilla
    0.95
     estimate
    0.94
     barrier
    0.93
     gap
    0.93
    Activations Density 0.240%

    No Known Activations