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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. 6-RES-JB
    11. 674
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    Explanations

    phrases related to downward directions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to downward movement or decline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orth
    -0.87
    akeru
    -0.84
    iliary
    -0.76
    construct
    -0.75
    iscopal
    -0.74
    ItemTracker
    -0.73
    asus
    -0.72
    wu
    -0.71
    PROV
    -0.71
    aram
    -0.70
    POSITIVE LOGITS
     throats
    0.89
     weeds
    0.88
     stairs
    0.83
     unfocusedRange
    0.80
     road
    0.75
     hallway
    0.74
     rabbit
    0.73
     street
    0.72
     dumps
    0.72
     freeway
    0.71
    Activations Density 0.121%

    No Known Activations