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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. 10-RES-JB
    11. 8344
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    Explanations

    mentions of specific geographical locations, particularly cities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly in relation to their actions and associations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ULTS
    -0.87
    âĶĢâĶĢ
    -0.80
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.74
    lessly
    -0.71
    FORMATION
    -0.68
    esthetic
    -0.68
     spirited
    -0.66
     Highlander
    -0.65
    姫
    -0.64
    Proxy
    -0.63
    POSITIVE LOGITS
    anski
    1.06
    uca
    0.97
    ovich
    0.96
    rov
    0.93
    dan
    0.91
    arest
    0.90
    ombo
    0.88
    inski
    0.88
    owitz
    0.88
    achev
    0.87
    Activations Density 0.076%

    No Known Activations