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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. 9-RES-JB
    11. 24121
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    Explanations

    phrases related to physical grips or control

    oai_token-act-pair · gpt-3.5-turbo

    references to physical or metaphorical "grip" or control

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    etheus
    -0.83
    actionDate
    -0.70
    ople
    -0.69
    ownt
    -0.67
    amo
    -0.67
    cé
    -0.67
    amount
    -0.66
    hex
    -0.66
    isSpecialOrderable
    -0.66
    issy
    -0.65
    POSITIVE LOGITS
    hold
    1.01
     grips
    0.93
     grip
    0.93
     Grip
    0.88
    fully
    0.81
    lock
    0.78
     grasp
    0.78
     tightly
    0.74
    locks
    0.74
    combe
    0.72
    Activations Density 0.079%

    No Known Activations