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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. 9-RES-JB
    11. 3030
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    Explanations

    places or activities related to specific actions or needs

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to places or opportunities for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    requires
    -0.76
    UTH
    -0.76
     wrinkles
    -0.63
     Question
    -0.62
    lore
    -0.61
     Truman
    -0.60
     implications
    -0.59
     Clover
    -0.59
     Beats
    -0.58
     Norris
    -0.58
    POSITIVE LOGITS
     reside
    0.99
     locate
    0.96
     stash
    0.90
     pray
    0.86
     hide
    0.86
    ocate
    0.86
     store
    0.83
     refuge
    0.81
     refuel
    0.80
     residence
    0.80
    Activations Density 0.098%

    No Known Activations