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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
    11. 16617
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    Explanations

    locations or names related to the name "Ram" followed by a strong activation value

    oai_token-act-pair · gpt-3.5-turbo

    tokens related to names or locations associated with 'Ram'

    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
    ortium
    -0.76
     horizont
    -0.74
    uyomi
    -0.69
    Connector
    -0.69
     insign
    -0.67
     parap
    -0.67
    Ct
    -0.67
    TOP
    -0.67
    DN
    -0.66
    ledged
    -0.65
    POSITIVE LOGITS
    vu
    0.71
    ooth
    0.68
    dash
    0.67
    ansen
    0.64
    hoe
    0.63
     Bu
    0.61
    hao
    0.60
     Yus
    0.60
     Sharif
    0.59
    etz
    0.59
    Activations Density 0.164%

    No Known Activations