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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. 14365
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    Explanations

    technical terms related to electronics and technology

    oai_token-act-pair · gpt-3.5-turbo

    negative numerical values associated with electronic equipment or technology

    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
     hiber
    -0.76
     cir
    -0.76
     bounce
    -0.75
     cler
    -0.71
     sep
    -0.69
     square
    -0.68
     caution
    -0.67
     moder
    -0.66
     context
    -0.65
     scr
    -0.65
    POSITIVE LOGITS
    derived
    1.11
    sama
    1.09
    FM
    1.09
    induced
    1.03
    mediated
    1.03
    GO
    1.03
    PASS
    1.02
    style
    1.01
    II
    0.98
    inspired
    0.98
    Activations Density 0.072%

    No Known Activations