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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. 6335
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    Explanations

    adjectives related to possible actions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    words related to fulfillment or successful actions

    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
    ernels
    -0.77
    Downloadha
    -0.77
    ivari
    -0.76
    ISC
    -0.71
    IRO
    -0.70
    atform
    -0.69
    ocl
    -0.69
    ribe
    -0.69
    æ©
    -0.69
    CHAT
    -0.68
    POSITIVE LOGITS
    theless
    0.96
     ignorance
    0.81
     glances
    0.76
    NESS
    0.76
    terday
    0.76
     idiots
    0.75
    tarian
    0.74
    filled
    0.73
    Appearances
    0.71
    vous
    0.70
    Activations Density 0.071%

    No Known Activations