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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. 17478
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    Explanations

    actions related to communication and interaction (e.g., asking, explaining, informing)

    oai_token-act-pair · gpt-3.5-turbo

    action verbs related to communication and requests

    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
    ktop
    -0.76
    talk
    -0.67
    pedia
    -0.64
    eka
    -0.64
    utch
    -0.63
    hound
    -0.63
     wisely
    -0.62
    adj
    -0.62
    haw
    -0.60
    dt
    -0.58
    POSITIVE LOGITS
    tons
    0.74
    otes
    0.65
     conformity
    0.64
    ements
    0.64
    isance
    0.64
     signatures
    0.64
    LY
    0.63
     spirits
    0.61
    Īè
    0.60
     refugees
    0.59
    Activations Density 0.160%

    No Known Activations