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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. 2861
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    Explanations

    phrases related to frequency and duration

    oai_token-act-pair · gpt-3.5-turbo

    references to dress codes or formal attire

    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
     Lithuan
    -0.55
     horm
    -0.54
     IOC
    -0.53
    atars
    -0.52
     Shine
    -0.52
     Mental
    -0.52
     Travels
    -0.52
     Totem
    -0.51
    accompanied
    -0.51
     Artifact
    -0.51
    POSITIVE LOGITS
     nor
    1.80
     anymore
    1.61
    nor
    1.37
     slightest
    1.12
    unless
    1.07
    yet
    1.06
     whatsoever
    1.01
     Nor
    0.97
    Nor
    0.86
    soever
    0.85
    Activations Density 1.194%

    No Known Activations