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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. 1-RES-JB
    11. 23077
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    Explanations

    actions related to designing or modifying something

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to design and development activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    talk
    -0.85
    deal
    -0.80
    nings
    -0.73
    behind
    -0.72
    pel
    -0.71
    cms
    -0.69
    ppa
    -0.69
    si
    -0.67
    yes
    -0.66
    iness
    -0.66
    POSITIVE LOGITS
    redients
    0.93
     conduc
    0.82
    GGGGGGGG
    0.81
     oneself
    0.76
     Pengu
    0.74
    VIDIA
    0.70
    ansk
    0.69
     mosqu
    0.68
    allery
    0.68
     electron
    0.67
    Activations Density 0.153%

    No Known Activations