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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. 3-RES-JB
    11. 21064
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    Explanations

    numbers related to financial figures or statistics

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data related to financial figures and economic statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ens
    -0.74
     arrang
    -0.71
     showc
    -0.69
    NOW
    -0.67
     inconsist
    -0.65
    USB
    -0.65
    bol
    -0.65
    CLASSIFIED
    -0.64
     remem
    -0.63
     ambig
    -0.63
    POSITIVE LOGITS
    ordinate
    1.24
    efficiency
    1.21
     accordance
    1.17
    roads
    1.15
    effic
    1.15
    organic
    1.11
    patient
    1.09
     lieu
    1.08
    clusions
    1.05
    bound
    1.03
    Activations Density 0.537%

    No Known Activations