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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. 2-RES-JB
    11. 8050
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    Explanations

    words related to actions that involve force or control

    oai_token-act-pair · gpt-3.5-turbo

    actions related to conflict and suppression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ItemTracker
    -0.56
    anwhile
    -0.55
     gonna
    -0.55
     dotted
    -0.54
     ventured
    -0.53
    assic
    -0.53
    Downloadha
    -0.52
     wont
    -0.51
    likely
    -0.50
     sprinkled
    -0.50
    POSITIVE LOGITS
    uate
    0.68
    ISE
    0.67
    igate
    0.64
     oneself
    0.64
    IRE
    0.60
    WT
    0.56
    ANGE
    0.54
    itate
    0.54
    igmat
    0.53
     LEVEL
    0.53
    Activations Density 1.705%

    No Known Activations