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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. 835
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    Explanations

    words related to disruption or unrest

    oai_token-act-pair · gpt-4-turbo

    words related to disturbances or disruptions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disturbances and disruptions

    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
     motto
    -0.77
    illet
    -0.72
    imb
    -0.70
    ilts
    -0.70
    BuyableInstoreAndOnline
    -0.69
    rium
    -0.67
    silver
    -0.66
    ramid
    -0.66
     drilled
    -0.65
    ä½ľ
    -0.65
    POSITIVE LOGITS
    ktop
    1.10
     disturbed
    0.94
     disturbance
    0.82
     disturbances
    0.81
     disturb
    0.79
     distur
    0.77
     adversely
    0.77
     alarmed
    0.75
    urbed
    0.75
     havoc
    0.74
    Activations Density 0.024%

    No Known Activations