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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5965
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names or identifiers associated with notable individuals or entities

    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
     rupture
    -0.79
    ACTED
    -0.76
    ĸļ
    -0.74
     enactment
    -0.74
    ħĭ
    -0.70
    ĪĴ
    -0.65
     doorstep
    -0.64
     CBC
    -0.63
     hiatus
    -0.62
     fuse
    -0.61
    POSITIVE LOGITS
    grain
    0.94
    ierrez
    0.87
    anan
    0.87
    eland
    0.85
    veland
    0.84
    espie
    0.83
    reau
    0.81
    apon
    0.79
    ppe
    0.78
    olean
    0.76
    Activations Density 0.080%

    No Known Activations