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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. 4-RES-JB
    11. 20599
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    Explanations

    phrases that imply improvement or comparison of multiple options

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating improvement or advantage

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

    No Comments

    Negative Logits
    igham
    -0.66
     LIMITED
    -0.65
    quin
    -0.64
     firmly
    -0.63
    hari
    -0.61
    algia
    -0.59
    cott
    -0.57
     unpop
    -0.56
     umb
    -0.56
    OH
    -0.55
    POSITIVE LOGITS
    than
    1.19
     than
    1.04
     Than
    1.01
     outcomes
    0.67
     financially
    0.67
    tein
    0.64
     behaved
    0.63
    ocating
    0.63
     arrang
    0.62
     responsiveness
    0.60
    Activations Density 0.199%

    No Known Activations