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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
    11. 24400
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    Explanations

    phrases related to instructions or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific symbol or character

    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
    orts
    -0.74
    ©¶æ
    -0.70
    pell
    -0.66
    odcast
    -0.66
    oyd
    -0.65
    zhou
    -0.65
    pping
    -0.64
    ysis
    -0.64
    lene
    -0.63
    pped
    -0.63
    POSITIVE LOGITS
    ––
    1.26
    âĸº
    0.90
    _-
    0.86
    ————
    0.77
    perhaps
    0.75
    £
    0.74
    Britain
    0.73
    these
    0.73
    _>
    0.73
    sim
    0.73
    Activations Density 0.109%

    No Known Activations