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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. 0-RES-JB
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    Explanations

    mentions of specific geographical areas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific types of landscapes or landforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fil
    -0.74
     receipt
    -0.66
     crank
    -0.63
     parent
    -0.62
     Dup
    -0.61
     tear
    -0.61
     supervised
    -0.61
     delivery
    -0.60
     tru
    -0.59
     exhib
    -0.59
    POSITIVE LOGITS
    lands
    4.44
    land
    2.69
    landers
    2.00
    lander
    1.77
    LAND
    1.69
     Lands
    1.43
    waters
    1.37
     lands
    1.32
    woods
    1.32
    vale
    1.27
    Activations Density 0.009%

    No Known Activations