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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. 6547
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    Explanations

    phrases indicating progress or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress or advancement

    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
    ecause
    -0.72
     Contract
    -0.71
    ciating
    -0.70
    igslist
    -0.64
    licted
    -0.61
     Coil
    -0.60
    ancies
    -0.59
    urses
    -0.59
     AZ
    -0.59
    liction
    -0.58
    POSITIVE LOGITS
     forward
    1.35
     backward
    1.32
     backwards
    1.28
     forwards
    1.20
     closer
    1.17
     toward
    1.13
     towards
    1.11
    forward
    1.05
     nearer
    1.01
    frog
    1.00
    Activations Density 0.035%

    No Known Activations