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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. 8-RES-JB
    11. 1350
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    Explanations

    words related to physical objects in a workspace setting, particularly desks

    oai_token-act-pair · gpt-3.5-turbo

    references to desks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.98
    Interstitial
    -0.83
     Adin
    -0.79
    Ô
    -0.74
    6666
    -0.71
     Jav
    -0.68
     Prosper
    -0.67
    ICAN
    -0.66
    ETF
    -0.64
     Territories
    -0.64
    POSITIVE LOGITS
    tops
    1.83
     drawer
    1.24
    top
    1.01
    lift
    0.91
    chair
    0.89
     desk
    0.87
     Desk
    0.86
    pointer
    0.85
    staff
    0.84
    ern
    0.82
    Activations Density 0.025%

    No Known Activations