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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. 4-RES-JB
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    Explanations

    words related to mountain peaks

    oai_token-act-pair · gpt-3.5-turbo

    references to various mountains, particularly their names and characteristics

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

    No Comments

    Negative Logits
    razil
    -0.83
    ļéĨĴ
    -0.76
    axter
    -0.66
    xx
    -0.65
    âĸĪâĸĪ
    -0.64
    furt
    -0.63
    ersive
    -0.63
    ÙIJ
    -0.63
    ctors
    -0.62
     briefs
    -0.62
    POSITIVE LOGITS
    mount
    0.95
    aint
    0.86
     Sinai
    0.85
    castle
    0.84
     Mount
    0.82
    aine
    0.81
    Mount
    0.81
     Everest
    0.79
    ains
    0.73
    mounted
    0.73
    Activations Density 0.007%

    No Known Activations