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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. 524
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    Explanations

    the verb "accomplish"

    oai_token-act-pair · gpt-4-turbo

    verbs related to achieving goals or completing tasks

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to achieving goals

    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
    creen
    -0.75
    bane
    -0.74
    lights
    -0.73
    reen
    -0.73
     tyres
    -0.71
    uru
    -0.67
    uns
    -0.66
    otin
    -0.66
    spr
    -0.65
    olson
    -0.65
    POSITIVE LOGITS
     accomplish
    1.11
     accomplished
    1.06
     accompl
    0.84
    icult
    0.83
    issance
    0.83
    ments
    0.82
     accomplishment
    0.81
    omething
    0.80
     fruition
    0.79
     achieved
    0.77
    Activations Density 0.009%

    No Known Activations