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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. 8036
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    INDEX
    Explanations

    concepts related to obstacles or hindrances

    oai_token-act-pair · gpt-3.5-turbo

    references to barriers or challenges

    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
    ulet
    -0.83
    ribution
    -0.76
    akening
    -0.73
    elt
    -0.72
    erd
    -0.70
    orp
    -0.70
    orpor
    -0.69
    Ann
    -0.68
    ithing
    -0.68
    umption
    -0.67
    POSITIVE LOGITS
     obstacle
    1.28
     obstacles
    1.23
     imped
    0.99
     barriers
    0.89
     hurdles
    0.89
     obstruction
    0.86
     impede
    0.86
     obstruct
    0.84
     Obst
    0.82
     pursu
    0.79
    Activations Density 0.012%

    No Known Activations