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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. 5-RES-JB
    6. 17967
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    Explanations

    words related to exerting pressure or influence on someone or something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pressed" and its variations in the context of urging or pushing for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bows
    -0.72
    flame
    -0.70
    dylib
    -0.70
    fin
    -0.66
    hang
    -0.66
    nam
    -0.66
    roma
    -0.65
    ership
    -0.65
    ARP
    -0.65
    verty
    -0.64
    POSITIVE LOGITS
     pressed
    1.06
     presses
    0.92
    pressed
    0.84
    press
    0.84
     pressing
    0.79
     harder
    0.78
    pressure
    0.77
    ioned
    0.76
     inquiries
    0.74
     pressuring
    0.70
    Activations Density 0.023%

    No Known Activations