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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. 6-RES-JB
    11. 21855
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    Explanations

    expressions related to being tired or fed up with something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or exhaustion related to repetitive situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.84
    ramid
    -0.78
    gradient
    -0.73
    Wallet
    -0.73
    linked
    -0.70
    hew
    -0.70
    illary
    -0.69
    grounds
    -0.68
    STATE
    -0.66
    UA
    -0.66
    POSITIVE LOGITS
     seeing
    0.98
     hearing
    0.90
     wasting
    0.82
     boredom
    0.80
     bothering
    0.79
     banging
    0.77
     humiliation
    0.77
     inflicting
    0.77
     repetition
    0.76
     beating
    0.75
    Activations Density 0.067%

    No Known Activations