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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. 6-RES-JB
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    terms related to proliferation, including words such as 'proliferation', 'cells', 'nuclear', and 'pest'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to proliferation and pests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ments
    -0.86
     Hole
    -0.82
    bow
    -0.81
    awaru
    -0.80
    rollment
    -0.73
    MENTS
    -0.72
    mented
    -0.71
    stood
    -0.70
    erald
    -0.70
    bows
    -0.69
    POSITIVE LOGITS
    iferation
    0.88
    ategory
    0.71
    ADS
    0.67
     challeng
    0.66
    etheless
    0.66
    Interstitial
    0.65
    avid
    0.65
    minist
    0.65
    oulos
    0.64
    ISH
    0.64
    Activations Density 0.084%

    No Known Activations