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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. 7-RES-JB
    11. 4877
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    INDEX
    Explanations

    terms related to essential or fundamental concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to fundamental or essential concepts and principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romeda
    -0.85
    igham
    -0.81
    isSpecialOrderable
    -0.81
     Tycoon
    -0.74
    ounters
    -0.73
    oping
    -0.71
    essed
    -0.71
    encers
    -0.67
    essee
    -0.66
    estern
    -0.66
    POSITIVE LOGITS
     necessities
    1.12
     tenets
    1.08
     arithmetic
    0.95
    basic
    0.93
     principles
    0.90
    lly
    0.87
     outline
    0.86
     subsistence
    0.86
    tenance
    0.85
     gist
    0.85
    Activations Density 0.036%

    No Known Activations