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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. 7124
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    Explanations

    negative or critical descriptions of situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    critical adjectives that convey strong negative or positive qualities

    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
    uden
    -0.91
    ©¶æ
    -0.88
    cture
    -0.87
    ajor
    -0.85
    ourke
    -0.79
    auga
    -0.77
     Collider
    -0.76
    abetic
    -0.76
    vironment
    -0.76
    ylum
    -0.75
    POSITIVE LOGITS
     ones
    1.06
     alike
    0.96
    nesses
    0.89
     attachments
    0.88
     losses
    0.85
     performances
    0.85
     amounts
    0.83
     surroundings
    0.83
     doses
    0.83
     intakes
    0.82
    Activations Density 0.341%

    No Known Activations