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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
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    Explanations

    specific mentions of "desk"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "desk"

    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
    actionDate
    -0.78
    Interstitial
    -0.78
    Ô
    -0.76
     Adin
    -0.75
     Cannes
    -0.69
    6666
    -0.68
    Flight
    -0.66
     EF
    -0.66
     ESC
    -0.65
    UCK
    -0.64
    POSITIVE LOGITS
    tops
    1.72
     drawer
    1.20
     desk
    1.00
     Desk
    0.98
    top
    0.97
     desks
    0.87
    chair
    0.87
    Desk
    0.86
    lift
    0.86
     overflow
    0.80
    Activations Density 0.008%

    No Known Activations