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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. 8922
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    Explanations

    phrases related to interception and surveillance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to communication interception and intelligence gathering

    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
    ened
    -0.69
    enstein
    -0.68
    eral
    -0.66
    adders
    -0.65
    chn
    -0.65
    cause
    -0.65
     stain
    -0.63
    ndra
    -0.62
    enny
    -0.62
    gets
    -0.62
    POSITIVE LOGITS
     intercepted
    0.91
    ibles
    0.80
     intercept
    0.74
     interceptions
    0.73
    IBLE
    0.71
    ryption
    0.66
    eering
    0.65
    uracy
    0.65
     transmissions
    0.65
     interception
    0.65
    Activations Density 0.024%

    No Known Activations