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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. 0-RES-JB
    11. 10307
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    Explanations

    phrases related to large quantities or sums

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating significant amounts or extraordinary conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lords
    -0.60
    wood
    -0.60
     Anarch
    -0.57
    DF
    -0.55
     evolves
    -0.55
     develops
    -0.55
     Tool
    -0.54
    ss
    -0.54
    Relations
    -0.54
     Wanted
    -0.54
    POSITIVE LOGITS
     staggering
    2.79
     whopping
    2.73
     astounding
    1.92
     astonishing
    1.61
     hefty
    1.47
     startling
    1.42
     stagger
    1.40
     meager
    1.26
     shockingly
    1.21
     stunning
    1.20
    Activations Density 0.022%

    No Known Activations