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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. 1-RES-JB
    11. 16794
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    Explanations

    concepts related to disturbance or disrupted states

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disturbances or being disturbed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.73
    VERTISEMENT
    -0.72
     motto
    -0.71
    BuyableInstoreAndOnline
    -0.69
    gil
    -0.68
    atorial
    -0.66
    GC
    -0.66
    cca
    -0.65
    ilts
    -0.65
    ä½ľ
    -0.64
    POSITIVE LOGITS
     disturbed
    1.10
    ktop
    1.02
    urbed
    0.85
     disturbance
    0.83
     disturb
    0.82
     awaken
    0.81
     alarmed
    0.80
     disturbances
    0.79
     unsett
    0.78
     distur
    0.76
    Activations Density 0.015%

    No Known Activations