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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. 985
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    Explanations

    phrases indicating heavy reliance or dependence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate dependence or reliance on specific factors or entities

    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
     upd
    -0.65
     scramble
    -0.63
     shenan
    -0.58
     showc
    -0.57
     groom
    -0.56
     obser
    -0.56
     snapped
    -0.55
     Vend
    -0.54
    cknow
    -0.54
     inspected
    -0.54
    POSITIVE LOGITS
     toward
    0.76
     Towards
    0.76
     towards
    0.74
    upon
    0.74
    BuyableInstoreAndOnline
    0.72
    into
    0.71
    ocus
    0.70
    against
    0.69
    onto
    0.68
    azard
    0.67
    Activations Density 0.175%

    No Known Activations