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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. 10-RES-JB
    11. 870
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    Explanations

    past tense verbs relating to personal experiences

    oai_token-act-pair · gpt-3.5-turbo

    the verb "seen" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.65
    eware
    -0.64
    onto
    -0.63
    raft
    -0.63
    resso
    -0.62
    ococ
    -0.62
     mantle
    -0.62
    unless
    -0.60
    cise
    -0.60
     umbrella
    -0.59
    POSITIVE LOGITS
     firsthand
    1.32
     glimps
    1.06
    dust
    0.97
     plenty
    0.97
     examples
    0.82
     flashes
    0.82
     footage
    0.82
     clips
    0.81
     similarities
    0.81
     enough
    0.81
    Activations Density 0.080%

    No Known Activations