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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. 22822
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    Explanations

    commands or instructions related to completing tasks in a procedural manner

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fundraising and project development

    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
    ĸļ
    -0.85
    Õ
    -0.72
    itism
    -0.72
    wrong
    -0.72
    toggle
    -0.71
     unfairly
    -0.69
     indisc
    -0.68
    lessness
    -0.67
    seless
    -0.67
    bole
    -0.67
    POSITIVE LOGITS
     preparations
    0.97
     assemble
    0.92
     prepare
    0.90
     prototypes
    0.89
     finalized
    0.89
    Assembly
    0.88
     final
    0.87
     logistics
    0.86
     Prepar
    0.85
     finished
    0.83
    Activations Density 0.848%

    No Known Activations