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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. 6073
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    Explanations

    phrases related to consecutive occurrences or sequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a sequence or return to a previous state

    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
    "]=>
    -0.68
    lied
    -0.67
    conn
    -0.61
     msec
    -0.60
    oris
    -0.60
     ..............
    -0.60
     Swordsman
    -0.60
     Appropri
    -0.58
     Flavoring
    -0.58
     Monstrous
    -0.57
    POSITIVE LOGITS
     basics
    1.06
    back
    0.84
    backs
    0.82
     heels
    0.81
     forth
    0.77
     Basics
    0.76
     knees
    0.74
     fundamentals
    0.73
    school
    0.68
    bas
    0.68
    Activations Density 0.029%

    No Known Activations