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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. 3-RES-JB
    11. 20893
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    INDEX
    Explanations

    superlatives such as "slightest" and "smallest" within a sentence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to minimalism or minor details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axter
    -0.78
    anwhile
    -0.70
    lan
    -0.66
    port
    -0.65
     skelet
    -0.62
    KING
    -0.61
    ingen
    -0.61
    archives
    -0.61
    nar
    -0.59
     cz
    -0.59
    POSITIVE LOGITS
     slightest
    0.98
     conceivable
    0.89
     imaginable
    0.88
     detectable
    0.83
     hint
    0.81
    THING
    0.80
    iculty
    0.78
     bit
    0.78
     Pwr
    0.76
     smallest
    0.76
    Activations Density 0.010%

    No Known Activations