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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. 22360
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    Explanations

    phrases related to things being full or crowded

    oai_token-act-pair · gpt-3.5-turbo

    the word "with" in various contexts

    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
    ajor
    -0.75
    ieri
    -0.73
    NN
    -0.73
    iology
    -0.71
    thren
    -0.70
    otiation
    -0.69
    igh
    -0.65
    EU
    -0.65
    afe
    -0.65
    iological
    -0.65
    POSITIVE LOGITS
     tons
    0.76
    stood
    0.75
     fresh
    0.73
     plenty
    0.72
    amaz
    0.72
     cardboard
    0.70
     vig
    0.70
     regard
    0.69
     curiosity
    0.69
     newcomers
    0.67
    Activations Density 0.066%

    No Known Activations