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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 22779
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    Explanations

    phrases indicating specific individuals or groups within a given context

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the word "who" and references to specific capacities or roles within contexts

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

    No Comments

    Negative Logits
    axy
    -0.69
    illion
    -0.67
    TPS
    -0.66
    skinned
    -0.66
    ´
    -0.65
    å¸
    -0.65
    person
    -0.64
     pione
    -0.63
    mage
    -0.63
    mouth
    -0.63
    POSITIVE LOGITS
     Canaver
    0.84
     Register
    0.73
     Regulations
    0.72
     Bord
    0.66
     resp
    0.63
    ndra
    0.63
     Governments
    0.61
     Cert
    0.61
    lishes
    0.61
     roundup
    0.61
    Activations Density 0.314%

    No Known Activations