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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. 6-RES-JB
    6. 502
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    Explanations

    phrases related to specific timeframes or sequences of events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time and spatial arrangements

    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
     Seller
    -0.58
     Cosponsors
    -0.57
    ML
    -0.54
     Context
    -0.54
     Caption
    -0.53
     applies
    -0.52
     [+]
    -0.52
     NEO
    -0.51
     distinguishes
    -0.51
     MFT
    -0.51
    POSITIVE LOGITS
     starvation
    0.68
    quit
    0.68
     curfew
    0.66
     sofa
    0.63
     drunken
    0.63
     hosp
    0.62
     fumes
    0.62
     rented
    0.61
     drunk
    0.61
    osures
    0.60
    Activations Density 1.320%

    No Known Activations