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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. 14100
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     guid
    -0.81
     guiActiveUnfocused
    -0.69
    =-=-=-=-
    -0.69
     ç¥ŀ
    -0.67
     DRAG
    -0.64
     PRESS
    -0.63
    gins
    -0.63
    anwhile
    -0.62
    è£ħ
    -0.61
    çĶ°
    -0.61
    POSITIVE LOGITS
    tarian
    0.75
    lease
    0.74
    Machine
    0.74
    Measure
    0.72
    venue
    0.68
    dL
    0.67
    Le
    0.67
    LD
    0.66
    cellence
    0.66
    endment
    0.66
    Activations Density 0.118%

    No Known Activations