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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. 8-RES-JB
    11. 2075
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    Explanations

    phrases related to staying up to date or being prepared for a challenge

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating readiness or preparedness for tasks or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eur
    -0.74
     Advertisement
    -0.65
    Voice
    -0.64
    Ak
    -0.62
    escal
    -0.61
    hiba
    -0.60
    caster
    -0.58
    hare
    -0.58
    mu
    -0.57
    GM
    -0.57
    POSITIVE LOGITS
     date
    0.93
     mischief
    0.89
     scratch
    0.87
     speed
    0.76
    date
    0.76
    ISO
    0.74
    ppers
    0.69
    pload
    0.66
     tricks
    0.65
    perty
    0.65
    Activations Density 0.052%

    No Known Activations