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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. 3-RES-JB
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    Explanations

    mentions of the word "Fore" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "Fore" and its variations, likely indicating a focus on individuals or entities named Fore in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naires
    -0.98
    å°Ĩ
    -0.86
    Magikarp
    -0.74
    illin
    -0.73
    Els
    -0.72
    tumblr
    -0.69
     Ou
    -0.68
    STD
    -0.67
     Norn
    -0.67
    VG
    -0.66
    POSITIVE LOGITS
    sts
    1.20
    nsics
    1.11
    closure
    1.07
     Fore
    0.95
    gotten
    0.95
    nsic
    0.94
    closed
    0.91
    stal
    0.90
    runner
    0.84
    gone
    0.82
    Activations Density 0.009%

    No Known Activations