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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. 4-RES-JB
    11. 4126
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    Explanations

    phrases related to receiving communication or feedback

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "received" and associated phrases indicating incoming communications or responses

    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
     Tracks
    -0.75
    ovie
    -0.69
     Bloody
    -0.65
    scape
    -0.64
     Doors
    -0.64
    ashi
    -0.63
    icago
    -0.63
    ife
    -0.62
    hawks
    -0.60
    nel
    -0.58
    POSITIVE LOGITS
     certification
    0.83
     permission
    0.82
     firsthand
    0.75
     approval
    0.75
     blessing
    0.70
     consent
    0.67
     paycheck
    0.67
     validation
    0.66
     satisfactory
    0.66
    rocal
    0.66
    Activations Density 0.298%

    No Known Activations