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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. 2-RES-JB
    11. 7723
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    INDEX
    Explanations

    numerical values of 300 with high activation, sometimes coming from text formatting or file sizes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number '300' or its variations in the text, likely representing measurements or metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    algia
    -0.83
    atories
    -0.76
    acon
    -0.76
    stay
    -0.76
    warts
    -0.73
    aken
    -0.73
    bread
    -0.72
    stretched
    -0.72
    Äĩ
    -0.72
    fare
    -0.71
    POSITIVE LOGITS
     MHz
    0.83
    MHz
    0.76
     volts
    0.71
     Meter
    0.71
     feet
    0.70
     msec
    0.69
     Mile
    0.68
    000
    0.68
    ONSORED
    0.68
    PDATE
    0.67
    Activations Density 0.024%

    No Known Activations